{"id":"W4410975994","doi":"10.1093/gigascience/giaf050","title":"Health Data Nexus: an open data platform for AI research and education in medicine","year":2025,"lang":"en","type":"article","venue":"GigaScience","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Centre for Addiction and Mental Health; Artificial Intelligence in Medicine (Canada); University of Toronto","funders":"","keywords":"Nexus (standard); Cloud computing; Computer science; Open data; Data science; Data management; Data sharing; Health data; Data security; Key (lock); Data curation; Knowledge management; World Wide Web; Health care; Computer security; Database; Medicine; Encryption","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.009153806,0.0005305978,0.0006084725,0.002184813,0.001261001,0.004876778,0.002796812,0.001860048,0.0313822],"category_scores_gemma":[0.02440739,0.0005449958,0.0006976607,0.002149704,0.001587277,0.007671535,0.01283735,0.002906029,0.01392056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691381,"about_ca_system_score_gemma":0.005665995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001629821,"about_ca_topic_score_gemma":0.002251696,"domain_scores_codex":[0.9963608,0.00134719,0.0004384835,0.0005128239,0.001059621,0.0002810441],"domain_scores_gemma":[0.9860672,0.00541072,0.0007809812,0.003386481,0.001217428,0.003137188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001291349,0.0004012849,0.006203924,0.001180924,0.0000974922,0.0008564063,0.003111615,0.004575549,0.005813004,0.3103075,0.3356576,0.3305035],"study_design_scores_gemma":[0.0001588059,0.0001080763,0.001800853,0.0003628766,0.00001526658,0.0003737675,0.0003280331,0.007816156,0.002704008,0.09159251,0.8946671,0.00007244728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01691075,0.003958377,0.5872836,0.05502142,0.003514103,0.00318921,0.04340591,0.1209732,0.1657434],"genre_scores_gemma":[0.1579817,0.004678112,0.6860489,0.01380917,0.002179513,0.004325259,0.06056126,0.01355136,0.05686484],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9972032,"threshold_uncertainty_score":0.1049839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8085438965902508,"score_gpt":0.6976983991760571,"score_spread":0.1108454974141937,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}