{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006382092,0.00006450997,0.0001932681,0.0003004624,0.0003328032,0.00008983458,0.001592377,0.0000470625,0.00001632864],"category_scores_gemma":[0.001996383,0.00005376848,0.000002589971,0.0009002722,0.0003386409,0.001298941,0.0008763095,0.0002163044,0.000004242163],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001404296,"about_ca_system_score_gemma":0.006399442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010694,"about_ca_topic_score_gemma":0.008801582,"domain_scores_codex":[0.9983107,0.00005046677,0.0003708051,0.0006784322,0.0002551862,0.0003344077],"domain_scores_gemma":[0.9975247,0.0002612287,0.00005199695,0.001689039,0.0002792171,0.0001938663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009459201,0.0002792033,0.01006889,0.0001994128,0.000001949341,4.440282e-7,0.002060865,7.158654e-7,0.0001710584,0.009041247,0.0832867,0.8947949],"study_design_scores_gemma":[0.0008021236,0.005819847,0.1065816,0.004898531,0.00003590719,0.0000694704,0.09017565,0.08727001,0.001105491,0.3384184,0.3643905,0.000432472],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4193342,0.004810173,0.008132153,0.5507816,0.002436598,0.00682219,0.0001177478,0.00005475869,0.007510557],"genre_scores_gemma":[0.978021,0.0006067666,0.005671914,0.01160393,0.0004069196,0.00009890754,0.001328056,0.000009784073,0.002252737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8943624,"threshold_uncertainty_score":0.9992334,"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."}}