/* ============================================================================
 * ML Analysis Card — focused, SPA-light-theme variant
 * ============================================================================
 * Adapted from public/styles.css (lines 6710–6924 + 8470–8520) so the
 * legacy ML card can be mounted inside the SPA Journey Navigator without
 * pulling in the entire dark-theme legacy stylesheet. All values are
 * scoped under .ml-analysis-card-wrapper to avoid leaking CSS variables
 * into the rest of the SPA. DC-1549 redo follow-up (2026-05-12).
 * ============================================================================ */

.ml-analysis-card-wrapper {
  --ml-text: var(--tri-ink);
  --ml-muted: var(--tri-body);
  --ml-line: var(--tri-taupe);
  --ml-pane: var(--tri-card-2);
  --ml-success: var(--tri-good);
  --ml-accent: var(--tri-soft);
  --ml-error: var(--tri-hard);
  --ml-primary: var(--tri-teal);
  --ml-secondary: var(--tri-teal);

  color: var(--ml-text);
  background: var(--tri-card);
  border: 1px solid var(--ml-line);
  border-radius: 12px;
  padding: 1.5rem 2rem;
  box-shadow: 0 1px 3px rgba(0, 0, 0, 0.04);
}

.ml-analysis-card-wrapper .ml-analysis-score-section {
  display: flex;
  flex-direction: column;
  align-items: center;
  gap: 1rem;
  padding: 1.5rem 0;
  border-bottom: 1px solid var(--ml-line);
}

.ml-analysis-card-wrapper .ml-analysis-gauge {
  position: relative;
  width: 140px;
  height: 140px;
}

.ml-analysis-card-wrapper .ml-analysis-circle {
  transform: rotate(-90deg);
  width: 100%;
  height: 100%;
}

.ml-analysis-card-wrapper .ml-analysis-circle-bg {
  fill: none;
  stroke: var(--ml-line);
  stroke-width: 8;
}

.ml-analysis-card-wrapper .ml-analysis-circle-progress {
  fill: none;
  stroke-width: 8;
  stroke-linecap: round;
  transition: stroke-dasharray 0.6s ease;
}

.ml-analysis-card-wrapper .ml-analysis-circle-progress.ml-ready {
  stroke: var(--ml-success);
}

.ml-analysis-card-wrapper .ml-analysis-circle-progress.ml-needs-work {
  stroke: var(--ml-accent);
}

.ml-analysis-card-wrapper .ml-analysis-circle-progress.ml-not-ready {
  stroke: var(--ml-error);
}

.ml-analysis-card-wrapper .ml-analysis-gauge-value {
  position: absolute;
  top: 50%;
  left: 50%;
  transform: translate(-50%, -50%);
  text-align: center;
}

.ml-analysis-card-wrapper .ml-analysis-score-number {
  font-size: 2.5rem;
  font-weight: 700;
  line-height: 1;
  color: var(--ml-text);
}

.ml-analysis-card-wrapper .ml-analysis-score-label {
  font-size: 0.75rem;
  color: var(--ml-muted);
  text-transform: uppercase;
  letter-spacing: 0.05em;
  margin-top: 0.25rem;
}

.ml-analysis-card-wrapper .ml-analysis-status-badge {
  display: inline-flex;
  align-items: center;
  gap: 0.5rem;
  padding: 0.5rem 1rem;
  border-radius: 24px;
  font-size: 0.875rem;
  font-weight: 600;
  letter-spacing: 0.025em;
}

.ml-analysis-card-wrapper .ml-analysis-status-badge.ml-ready {
  background: rgba(72, 187, 120, 0.15);
  color: var(--ml-success);
}

.ml-analysis-card-wrapper .ml-analysis-status-badge.ml-needs-work {
  background: rgba(243, 156, 18, 0.15);
  color: var(--ml-accent);
}

.ml-analysis-card-wrapper .ml-analysis-status-badge.ml-not-ready {
  background: rgba(231, 76, 60, 0.15);
  color: var(--ml-error);
}

.ml-analysis-card-wrapper .ml-status-icon {
  font-size: 1rem;
}

.ml-analysis-card-wrapper .ml-analysis-dimensions {
  padding: 1.5rem 0;
  display: flex;
  flex-direction: column;
  gap: 1.5rem;
}

.ml-analysis-card-wrapper .ml-dimension-bar {
  display: flex;
  flex-direction: column;
  gap: 0.5rem;
}

.ml-analysis-card-wrapper .ml-dimension-header {
  display: flex;
  justify-content: space-between;
  align-items: baseline;
}

.ml-analysis-card-wrapper .ml-dimension-label {
  font-size: 0.95rem;
  font-weight: 600;
  color: var(--ml-text);
  display: inline-flex;
  align-items: center;
}

.ml-analysis-card-wrapper .ml-dimension-value {
  font-size: 1.125rem;
  font-weight: 700;
  color: var(--ml-text);
}

.ml-analysis-card-wrapper .ml-dimension-bar .progress-bar {
  width: 100%;
  height: 8px;
  background: var(--ml-line);
  border-radius: 4px;
  overflow: hidden;
}

.ml-analysis-card-wrapper .ml-dimension-bar .progress-fill {
  height: 100%;
  border-radius: 4px;
  transition: width 0.6s ease;
}

.ml-analysis-card-wrapper .ml-dimension-bar .progress-fill.ml-sufficiency {
  background: var(--tri-teal);
}

.ml-analysis-card-wrapper .ml-dimension-bar .progress-fill.ml-bias {
  background: var(--tri-soft);
}

.ml-analysis-card-wrapper .ml-dimension-bar .progress-fill.ml-features {
  background: var(--tri-teal);
}

.ml-analysis-card-wrapper .ml-dimension-detail {
  margin: 0.25rem 0 0;
  font-size: 0.8rem;
  line-height: 1.4;
  color: var(--ml-muted);
}

.ml-analysis-card-wrapper .ml-analysis-summary {
  padding: 1rem 0;
  border-top: 1px solid var(--ml-line);
  border-bottom: 1px solid var(--ml-line);
}

.ml-analysis-card-wrapper .ml-analysis-summary p {
  margin: 0;
  line-height: 1.6;
  color: var(--ml-muted);
}

.ml-analysis-card-wrapper .ml-analysis-actions {
  padding-top: 1.5rem;
  display: flex;
  gap: 0.75rem;
  flex-wrap: wrap;
}

.ml-analysis-card-wrapper .ml-analysis-placeholder {
  padding: 2rem;
  text-align: center;
  display: flex;
  flex-direction: column;
  align-items: center;
  gap: 1rem;
}

.ml-analysis-card-wrapper .ml-placeholder-icon {
  font-size: 3rem;
  opacity: 0.5;
}

.ml-analysis-card-wrapper .ml-analysis-placeholder h4 {
  margin: 0;
  font-size: 1.125rem;
  color: var(--ml-text);
}

.ml-analysis-card-wrapper .ml-analysis-placeholder p {
  margin: 0.5rem 0;
  max-width: 400px;
  line-height: 1.6;
  color: var(--ml-muted);
}

/* ai-btn helpers used by the action row at the bottom of the card */
.ml-analysis-card-wrapper .ai-btn {
  background: var(--ml-primary);
  border: 1px solid var(--ml-primary);
  color: white;
  padding: 8px 16px;
  border-radius: 6px;
  cursor: pointer;
  font-size: 12px;
  font-weight: 600;
  transition: all 0.2s;
}

.ml-analysis-card-wrapper .ai-btn:hover {
  background: var(--tri-teal);
}

.ml-analysis-card-wrapper .ai-btn:disabled {
  opacity: 0.5;
  cursor: not-allowed;
}

.ml-analysis-card-wrapper .ai-btn-success {
  background: var(--ml-success);
  border-color: var(--ml-success);
}

.ml-analysis-card-wrapper .ai-btn-success:hover {
  background: var(--tri-good);
}

.ml-analysis-card-wrapper .muted {
  color: var(--ml-muted);
}

.ml-analysis-card-wrapper .text-sm {
  font-size: 0.8rem;
}

/* ML metric "?" info buttons — the sub-metric drawer triggers. */
.ml-analysis-card-wrapper .ml-metric-info-btn {
  display: inline-flex;
  align-items: center;
  justify-content: center;
  width: 18px;
  height: 18px;
  margin-left: 6px;
  padding: 0;
  font-size: 11px;
  font-weight: 700;
  color: var(--tri-teal);
  background: var(--tri-teal-tint);
  border: 1px solid var(--tri-teal-tint-line);
  border-radius: 50%;
  cursor: pointer;
  transition: all 0.15s ease;
  flex-shrink: 0;
  vertical-align: middle;
}

.ml-analysis-card-wrapper .ml-metric-info-btn:hover {
  background: var(--tri-teal-tint);
  border-color: var(--tri-teal);
  color: var(--tri-teal);
}

.ml-analysis-card-wrapper .ml-metric-info-btn:focus {
  outline: 2px solid var(--tri-teal);
  outline-offset: 2px;
}

.ml-analysis-card-wrapper .ml-metric-info-btn:active {
  background: var(--tri-teal-tint);
}

.ml-analysis-card-wrapper .ml-metric-info-btn--overall {
  width: 16px;
  height: 16px;
  font-size: 10px;
  margin-left: 4px;
}

/* ============================================================================
 * ML Analysis Detail Modal — focused, SPA-light-theme variant
 * ----------------------------------------------------------------------------
 * Adapted from public/styles.css lines 6946–7510. The modal renders into
 * #mlAnalysisModal (appended to <body> by main.tsx) so all rules are
 * scoped under that ID — keeps these styles from colliding with any other
 * SPA-level modal patterns. CSS variables are inlined to avoid depending
 * on the legacy --bg / --text / --muted / --border / --card-bg / --secondary
 * vars that don't exist on the SPA's white pages.
 * ============================================================================ */

#mlAnalysisModal.hidden { display: none !important; }

#mlAnalysisModal {
  --ml-modal-bg: var(--tri-card);
  --ml-modal-card-bg: var(--tri-card-2);
  --ml-modal-text: var(--tri-ink);
  --ml-modal-muted: var(--tri-body);
  --ml-modal-border: var(--tri-taupe);
  --ml-modal-secondary: var(--tri-teal);
}

/* The SPA bundle ships ~10 competing .modal-* rules (bridge-v2, fairy-
 * dashboard, AssetDetailPanel, journey, etc.) loaded AFTER this file. To
 * avoid them bleeding into the ML modal we lean on two things: the
 * #mlAnalysisModal ID scope (1 ID + class = 110 specificity beats most
 * unscoped 010 rules) and !important on the few properties where bundle
 * order or higher-specificity overrides slip through (flex layout on
 * .modal-footer from fairy-dashboard.css, color on .modal-title from
 * inheritance, etc.). */

#mlAnalysisModal .modal-overlay {
  position: fixed !important;
  inset: 0 !important;
  background: rgba(0, 0, 0, 0.7) !important;
  display: flex !important;
  align-items: center !important;
  justify-content: center !important;
  z-index: 10000 !important;
  backdrop-filter: blur(4px);
  animation: mlModalFadeIn 0.2s ease-out;
}

@keyframes mlModalFadeIn {
  from { opacity: 0; }
  to { opacity: 1; }
}

@keyframes mlModalSlideUp {
  from { transform: translateY(20px); opacity: 0; }
  to { transform: translateY(0); opacity: 1; }
}

#mlAnalysisModal .ml-modal-dialog {
  background: var(--ml-modal-bg) !important;
  color: var(--ml-modal-text) !important;
  border-radius: 12px !important;
  max-width: 900px !important;
  width: 90% !important;
  max-height: 90vh !important;
  display: flex !important;
  flex-direction: column !important;
  box-shadow: 0 20px 60px rgba(0, 0, 0, 0.35) !important;
  animation: mlModalSlideUp 0.3s ease-out;
}

#mlAnalysisModal .ml-modal-header {
  display: flex !important;
  flex-direction: row !important;
  align-items: center !important;
  justify-content: space-between !important;
  padding: 1.5rem 2rem !important;
  border-bottom: 1px solid var(--ml-modal-border) !important;
  background: linear-gradient(135deg, rgba(52, 152, 219, 0.08) 0%, rgba(155, 89, 182, 0.08) 100%) !important;
  color: var(--ml-modal-text) !important;
}

#mlAnalysisModal .ml-modal-icon {
  font-size: 1.5rem;
  margin-right: 0.75rem;
}

#mlAnalysisModal .modal-title {
  margin: 0 !important;
  font-size: 1.5rem !important;
  font-weight: 600 !important;
  color: var(--ml-modal-text) !important;
  display: flex !important;
  align-items: center !important;
}

#mlAnalysisModal .modal-close {
  background: none !important;
  border: none !important;
  font-size: 2rem !important;
  line-height: 1 !important;
  color: var(--ml-modal-muted) !important;
  cursor: pointer !important;
  padding: 0 !important;
  width: 32px !important;
  height: 32px !important;
  display: flex !important;
  align-items: center !important;
  justify-content: center !important;
  border-radius: 4px !important;
  transition: all 0.2s ease;
}

#mlAnalysisModal .modal-close:hover {
  background: rgba(0, 0, 0, 0.06);
  color: var(--ml-modal-text);
}

#mlAnalysisModal .ml-modal-body {
  flex: 1 !important;
  overflow-y: auto !important;
  padding: 2rem !important;
  color: var(--ml-modal-text) !important;
}

#mlAnalysisModal .ml-modal-score-section {
  display: flex;
  align-items: center;
  gap: 2rem;
  margin-bottom: 2rem;
  padding: 1.5rem;
  background: var(--ml-modal-card-bg);
  border-radius: 8px;
  border: 1px solid var(--ml-modal-border);
}

#mlAnalysisModal .ml-modal-gauge {
  position: relative;
  width: 180px;
  height: 180px;
  flex-shrink: 0;
}

#mlAnalysisModal .ml-modal-circle {
  width: 100%;
  height: 100%;
  transform: rotate(-90deg);
}

#mlAnalysisModal .ml-modal-circle-bg {
  fill: none;
  stroke: var(--ml-modal-border);
  stroke-width: 12;
}

#mlAnalysisModal .ml-modal-circle-progress {
  fill: none;
  stroke-width: 12;
  stroke-linecap: round;
  transition: stroke-dasharray 0.6s ease, stroke 0.3s ease;
}

#mlAnalysisModal .ml-modal-circle-progress.ml-ready { stroke: var(--tri-good); }
#mlAnalysisModal .ml-modal-circle-progress.ml-needs-work { stroke: var(--tri-soft); }
#mlAnalysisModal .ml-modal-circle-progress.ml-not-ready { stroke: var(--tri-hard); }

#mlAnalysisModal .ml-modal-gauge-value {
  position: absolute;
  top: 50%;
  left: 50%;
  transform: translate(-50%, -50%);
  text-align: center;
}

#mlAnalysisModal .ml-modal-score-number {
  font-size: 3rem;
  font-weight: 700;
  line-height: 1;
  color: var(--ml-modal-text);
  margin-bottom: 0.25rem;
}

#mlAnalysisModal .ml-modal-score-label {
  font-size: 0.875rem;
  font-weight: 500;
  color: var(--ml-modal-muted);
  text-transform: uppercase;
  letter-spacing: 0.05em;
}

#mlAnalysisModal .ml-modal-status { flex: 1; }

#mlAnalysisModal .ml-modal-status-badge {
  display: inline-flex;
  align-items: center;
  gap: 0.5rem;
  padding: 0.5rem 1rem;
  border-radius: 6px;
  font-weight: 600;
  font-size: 1rem;
  margin-bottom: 1rem;
}

#mlAnalysisModal .ml-modal-status-badge.ml-ready {
  background: rgba(72, 187, 120, 0.15);
  color: var(--tri-good);
}

#mlAnalysisModal .ml-modal-status-badge.ml-needs-work {
  background: rgba(243, 156, 18, 0.15);
  color: var(--tri-soft);
}

#mlAnalysisModal .ml-modal-status-badge.ml-not-ready {
  background: rgba(231, 76, 60, 0.15);
  color: var(--tri-hard);
}

#mlAnalysisModal .ml-modal-summary {
  color: var(--ml-modal-text);
  line-height: 1.6;
  margin: 0;
}

#mlAnalysisModal .ml-modal-tabs {
  display: flex;
  gap: 0.5rem;
  margin-bottom: 1.5rem;
  border-bottom: 2px solid var(--ml-modal-border);
}

#mlAnalysisModal .ml-tab-btn {
  padding: 0.75rem 1.5rem;
  background: none;
  border: none;
  border-bottom: 3px solid transparent;
  color: var(--ml-modal-muted);
  font-weight: 500;
  cursor: pointer;
  transition: all 0.2s ease;
  margin-bottom: -2px;
}

#mlAnalysisModal .ml-tab-btn:hover {
  color: var(--ml-modal-text);
  background: rgba(0, 0, 0, 0.04);
}

#mlAnalysisModal .ml-tab-btn.active {
  color: var(--ml-modal-secondary);
  border-bottom-color: var(--ml-modal-secondary);
}

#mlAnalysisModal .ml-modal-tab-content { min-height: 400px; }

#mlAnalysisModal .ml-tab-pane { display: none; }
#mlAnalysisModal .ml-tab-pane.active {
  display: block;
  animation: mlModalFadeIn 0.3s ease-out;
}

#mlAnalysisModal .ml-dimension-header-modal {
  display: flex;
  align-items: center;
  justify-content: space-between;
  margin-bottom: 1.5rem;
}

#mlAnalysisModal .ml-dimension-header-modal h3 {
  margin: 0;
  font-size: 1.25rem;
  color: var(--ml-modal-text);
}

#mlAnalysisModal .ml-dimension-score-badge {
  background: var(--ml-modal-secondary);
  color: var(--tri-on-teal);
  padding: 0.5rem 1rem;
  border-radius: 6px;
  font-weight: 700;
  font-size: 1.125rem;
}

#mlAnalysisModal .ml-metric-card {
  background: var(--ml-modal-card-bg);
  border: 1px solid var(--ml-modal-border);
  border-radius: 8px;
  padding: 1.5rem;
  margin-bottom: 1rem;
}

#mlAnalysisModal .ml-metric-header {
  display: flex;
  align-items: center;
  justify-content: space-between;
  margin-bottom: 1rem;
}

#mlAnalysisModal .ml-metric-header h4 {
  margin: 0;
  font-size: 1.125rem;
  color: var(--ml-modal-text);
}

#mlAnalysisModal .ml-metric-status {
  padding: 0.25rem 0.75rem;
  border-radius: 4px;
  font-size: 0.875rem;
  font-weight: 600;
}

#mlAnalysisModal .ml-metric-status.success {
  background: rgba(46, 204, 113, 0.15);
  color: var(--tri-good);
}

#mlAnalysisModal .ml-metric-status.warning {
  background: rgba(243, 156, 18, 0.15);
  color: var(--tri-soft);
}

#mlAnalysisModal .ml-metric-status.error {
  background: rgba(231, 76, 60, 0.15);
  color: var(--tri-hard);
}

#mlAnalysisModal .ml-metric-status.neutral {
  background: rgba(149, 165, 166, 0.15);
  color: var(--tri-body);
}

#mlAnalysisModal .ml-metric-details {
  display: flex;
  flex-direction: column;
  gap: 0.75rem;
}

#mlAnalysisModal .ml-metric-row {
  display: flex;
  justify-content: space-between;
  align-items: center;
}

#mlAnalysisModal .ml-metric-label {
  color: var(--ml-modal-muted);
  font-size: 0.9375rem;
}

#mlAnalysisModal .ml-metric-value {
  color: var(--ml-modal-text);
  font-weight: 600;
  font-size: 0.9375rem;
}

#mlAnalysisModal .ml-metric-value.error { color: var(--tri-hard); }
#mlAnalysisModal .ml-metric-value.success { color: var(--tri-good); }

#mlAnalysisModal .ml-metric-issues {
  margin-top: 1rem;
  padding-top: 1rem;
  border-top: 1px solid var(--ml-modal-border);
}

#mlAnalysisModal .ml-metric-issues strong {
  color: var(--ml-modal-text);
  font-size: 0.875rem;
}

#mlAnalysisModal .ml-metric-issues ul {
  margin: 0.5rem 0 0 0;
  padding-left: 1.5rem;
}

#mlAnalysisModal .ml-metric-issues li {
  color: var(--ml-modal-muted);
  font-size: 0.875rem;
  margin: 0.25rem 0;
}

#mlAnalysisModal .ml-risk-summary {
  display: flex;
  align-items: center;
  gap: 1rem;
  margin-bottom: 1.5rem;
  padding: 1rem;
  background: var(--ml-modal-card-bg);
  border-radius: 8px;
  border: 1px solid var(--ml-modal-border);
}

#mlAnalysisModal .ml-risk-label {
  font-weight: 600;
  color: var(--ml-modal-text);
}

#mlAnalysisModal .ml-risk-badge {
  padding: 0.5rem 1rem;
  border-radius: 6px;
  font-weight: 700;
  font-size: 1rem;
}

#mlAnalysisModal .ml-risk-badge.success { background: var(--tri-good); color: var(--tri-on-teal); }
#mlAnalysisModal .ml-risk-badge.warning { background: var(--tri-soft); color: var(--tri-on-teal); }
#mlAnalysisModal .ml-risk-badge.error { background: var(--tri-hard); color: var(--tri-on-teal); }

#mlAnalysisModal .ml-issues-list {
  display: flex;
  flex-direction: column;
  gap: 1rem;
}

#mlAnalysisModal .ml-issue-item {
  padding: 1rem;
  border-left: 4px solid;
  background: var(--ml-modal-card-bg);
  border-radius: 4px;
}

#mlAnalysisModal .ml-issue-item.critical {
  border-left-color: var(--tri-hard);
  background: rgba(231, 76, 60, 0.05);
}

#mlAnalysisModal .ml-issue-item.warning {
  border-left-color: var(--tri-soft);
  background: rgba(243, 156, 18, 0.05);
}

#mlAnalysisModal .ml-issue-item.info {
  border-left-color: var(--tri-teal);
  background: rgba(52, 152, 219, 0.05);
}

#mlAnalysisModal .ml-issue-header {
  display: flex;
  align-items: center;
  gap: 0.75rem;
  margin-bottom: 0.5rem;
}

#mlAnalysisModal .ml-issue-severity {
  font-weight: 700;
  font-size: 0.75rem;
  text-transform: uppercase;
  letter-spacing: 0.05em;
}

#mlAnalysisModal .ml-issue-type {
  color: var(--ml-modal-text);
  font-weight: 600;
  font-size: 0.875rem;
}

#mlAnalysisModal .ml-issue-description {
  color: var(--ml-modal-text);
  margin: 0;
  font-size: 0.9375rem;
  line-height: 1.6;
}

#mlAnalysisModal .ml-issue-features {
  margin: 0.5rem 0 0 0;
  font-size: 0.875rem;
  color: var(--ml-modal-muted);
}

#mlAnalysisModal .ml-recommendations-list {
  display: flex;
  flex-direction: column;
  gap: 1.5rem;
}

#mlAnalysisModal .ml-recommendation-card {
  background: var(--ml-modal-card-bg);
  border: 1px solid var(--ml-modal-border);
  border-radius: 8px;
  padding: 1.5rem;
}

#mlAnalysisModal .ml-recommendation-header {
  display: flex;
  align-items: center;
  gap: 1rem;
  margin-bottom: 1rem;
}

#mlAnalysisModal .ml-recommendation-number {
  width: 32px;
  height: 32px;
  background: var(--ml-modal-secondary);
  color: var(--tri-on-teal);
  border-radius: 50%;
  display: flex;
  align-items: center;
  justify-content: center;
  font-weight: 700;
  font-size: 1rem;
  flex-shrink: 0;
}

#mlAnalysisModal .ml-recommendation-title {
  flex: 1;
  margin: 0;
  font-size: 1.125rem;
  color: var(--ml-modal-text);
}

#mlAnalysisModal .ml-recommendation-priority {
  padding: 0.25rem 0.75rem;
  border-radius: 4px;
  font-size: 0.875rem;
  font-weight: 600;
  text-transform: uppercase;
  letter-spacing: 0.05em;
}

#mlAnalysisModal .ml-recommendation-priority.high {
  background: rgba(231, 76, 60, 0.15);
  color: var(--tri-hard);
}

#mlAnalysisModal .ml-recommendation-priority.medium {
  background: rgba(243, 156, 18, 0.15);
  color: var(--tri-soft);
}

#mlAnalysisModal .ml-recommendation-priority.low {
  background: rgba(52, 152, 219, 0.15);
  color: var(--tri-teal);
}

#mlAnalysisModal .ml-recommendation-description {
  color: var(--ml-modal-text);
  line-height: 1.6;
  margin: 0 0 1rem 0;
}

#mlAnalysisModal .ml-recommendation-actions { margin-bottom: 1rem; }

#mlAnalysisModal .ml-recommendation-actions strong {
  color: var(--ml-modal-text);
  font-size: 0.875rem;
}

#mlAnalysisModal .ml-recommendation-actions ul {
  margin: 0.5rem 0 0 0;
  padding-left: 1.5rem;
}

#mlAnalysisModal .ml-recommendation-actions li {
  color: var(--ml-modal-muted);
  font-size: 0.875rem;
  margin: 0.25rem 0;
}

#mlAnalysisModal .ml-recommendation-impact {
  margin: 0;
  color: var(--ml-modal-muted);
  font-size: 0.875rem;
}

#mlAnalysisModal .ml-no-recommendations {
  padding: 3rem 0;
  text-align: center;
  color: var(--ml-modal-muted);
}

#mlAnalysisModal .modal-footer,
#mlAnalysisModal .ml-modal-footer {
  display: flex !important;
  flex-direction: row !important;
  align-items: center !important;
  justify-content: flex-end !important;
  gap: 1rem !important;
  padding: 1.5rem 2rem !important;
  border-top: 1px solid var(--ml-modal-border) !important;
  background: rgba(0, 0, 0, 0.02) !important;
}

#mlAnalysisModal .modal-footer .ai-btn {
  background: var(--tri-teal);
  border: 1px solid var(--tri-teal);
  color: white;
  padding: 8px 16px;
  border-radius: 6px;
  cursor: pointer;
  font-size: 13px;
  font-weight: 600;
  transition: all 0.2s;
}

#mlAnalysisModal .modal-footer .ai-btn:hover { background: var(--tri-teal); }

#mlAnalysisModal .modal-footer .ai-btn-primary {
  background: var(--tri-teal);
  border-color: var(--tri-teal);
}

#mlAnalysisModal .modal-footer .ai-btn-primary:hover { background: var(--tri-ink); }

#mlAnalysisModal .muted { color: var(--ml-modal-muted); }
#mlAnalysisModal .text-sm { font-size: 0.85rem; }

/* ============================================================================
 * Deep Analysis Section — Phase 3 (DC-880)
 * ----------------------------------------------------------------------------
 * Rendered by MLReadinessLegacyWrapper below the legacy card when any of the
 * /api/ml-readiness/{jobId}/{phase3-summary,class-separability,
 * discrimination-index,data-point-impact,mislabels} endpoints return data.
 * Light theme, consistent visual rhythm with .ml-analysis-card-wrapper.
 * ============================================================================ */

.ml-deep-analysis-section {
  margin-top: 1.5rem;
  background: var(--tri-card);
  border: 1px solid var(--tri-taupe);
  border-radius: 12px;
  padding: 1.5rem 2rem;
  box-shadow: 0 1px 3px rgba(0, 0, 0, 0.04);
  color: var(--tri-ink);
}

.ml-deep-analysis-title {
  margin: 0 0 1rem 0;
  font-size: 1.125rem;
  font-weight: 700;
  color: var(--tri-ink);
  letter-spacing: 0.01em;
}

.ml-deep-card {
  border: 1px solid var(--tri-taupe);
  border-radius: 8px;
  padding: 1rem 1.25rem;
  margin-bottom: 1rem;
  background: var(--tri-card-2);
}

.ml-deep-card:last-child {
  margin-bottom: 0;
}

.ml-deep-card-header {
  display: flex;
  align-items: center;
  justify-content: space-between;
  gap: 0.75rem;
  margin-bottom: 0.75rem;
}

.ml-deep-card-header h4 {
  margin: 0;
  font-size: 1rem;
  font-weight: 600;
  color: var(--tri-ink);
}

.ml-deep-badge {
  padding: 0.2rem 0.6rem;
  border-radius: 4px;
  font-size: 0.75rem;
  font-weight: 700;
  text-transform: uppercase;
  letter-spacing: 0.04em;
}

.ml-deep-badge.badge-good {
  background: rgba(72, 187, 120, 0.15);
  color: var(--tri-good);
}

.ml-deep-badge.badge-warn {
  background: rgba(243, 156, 18, 0.15);
  color: var(--tri-soft);
}

.ml-deep-badge.badge-bad {
  background: rgba(231, 76, 60, 0.15);
  color: var(--tri-hard);
}

.ml-deep-metrics {
  display: grid;
  grid-template-columns: repeat(auto-fit, minmax(180px, 1fr));
  gap: 1rem;
}

.ml-deep-metric {
  display: flex;
  flex-direction: column;
  gap: 0.15rem;
}

.ml-deep-metric-label {
  font-size: 0.8rem;
  color: var(--tri-body);
  font-weight: 500;
}

.ml-deep-metric-value {
  font-size: 1.25rem;
  font-weight: 700;
  color: var(--tri-ink);
}

.ml-deep-metric-value.good {
  color: var(--tri-good);
}

.ml-deep-metric-value.warn {
  color: var(--tri-soft);
}

.ml-deep-metric-hint {
  font-size: 0.75rem;
  color: var(--tri-slate);
}

.ml-deep-warning {
  margin-top: 0.75rem;
  padding: 0.6rem 0.85rem;
  background: rgba(243, 156, 18, 0.1);
  border-left: 3px solid var(--tri-soft);
  border-radius: 4px;
  color: var(--tri-ink);
  font-size: 0.875rem;
}