Interactive companion to Hinton-Test, a benchmark of the world model of the patient. The site exposes the verified manuscript results as searchable model, finding, organ-system, and task views.
Public website: mrgiovanni.github.io/Hinton-Test
Pushes to main automatically rebuild and publish the GitHub Pages site.
python3 scripts/build_site_data.pyThe builder reads the canonical artifacts under docs/results/ and writes public/data/benchmark.json. It does not recompute scientific metrics.
The public Read leaderboard defaults to the original frozen cohort: 14,832
finding–examination cases for full-cohort endpoints, while GPT-5.5 and Claude
Opus 4.8 retain their original 2,606-case audit. The later 16,532-case
minimum-support expansion is preserved for future opt-in analyses in
TMI-2026-Med-Reasoning/docs/results/read_breadth_min20_repair.
- The paper plotting implementations under
world_model_benchmark/figures/are the authority for model families, model colors, metric direction, and finding order.fig_read_results/is the reference for the assembled Read figure. - The Read task includes a native web translation of
figures/fig_read_findings: selectable per-finding score distributions, the sensitivity--specificity plane, and finding support versus performance. These panels read frombenchmark.json; they do not scrape pixels from the paper figure. - The dataset page uses the real de-identified three-examination trajectory
FF000009from the frozen no-action Predict cohort. Regenerate its slices withscripts/render_trajectory_slices.py; the follow-up examination is displayed only after an explicit reveal action.
pnpm install
pnpm run dev/— benchmark story and headline findings/dataset— cohort and longitudinal structure/models— sortable task-specific leaderboard with clickable cross-task model profiles/tasks— interactive Assess, Read, Compare, Predict, Conclude, Advise, and integrated views/explorer— 179-finding search, body-system profile, and cross-model drill-down/submit— structured community model-submission workflow/about— methods and reproducibility resources