{"id":"W4412527572","doi":"10.1016/j.ajhg.2025.06.017","title":"The evolution of health data ecosystems: An international survey","year":2025,"lang":"en","type":"review","venue":"The American Journal of Human Genetics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; McGill University; Children's Hospital of Eastern Ontario; Hospital for Sick Children; University of Ottawa; Centre for Global Health Research; Lunenfeld-Tanenbaum Research Institute","funders":"Canadian Institutes of Health Research; Genome British Columbia; Genome Canada","keywords":"Ecosystem; Environmental resource management; Geography; Data science; Environmental science; Computer science; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.01505601,0.0005359925,0.001463488,0.004707421,0.0005036595,0.003812221,0.0012739,0.001753078,0.003003535],"category_scores_gemma":[0.02533694,0.0004321179,0.0008602791,0.008243003,0.002775402,0.005700491,0.002267693,0.002405475,0.0003649595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004220583,"about_ca_system_score_gemma":0.009378483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004734021,"about_ca_topic_score_gemma":0.009290641,"domain_scores_codex":[0.9968652,0.001375736,0.000419453,0.0003724803,0.0008068899,0.0001601061],"domain_scores_gemma":[0.9598498,0.03097274,0.003841141,0.0008134291,0.003573858,0.0009490262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008526463,0.00002817498,0.001976172,0.02040572,0.0002644749,0.00007399984,0.0004287202,0.0004347273,0.000175277,0.02284068,0.01549892,0.9377878],"study_design_scores_gemma":[0.00004209493,0.0001090037,0.01111953,0.07128039,0.0006827018,0.001213472,0.001164212,0.0003324154,0.0002986021,0.01419253,0.8994987,0.00006645707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003063424,0.9950387,0.0001842314,0.003681172,0.00008500689,0.000004277422,0.00002866528,0.000003692439,0.0006679193],"genre_scores_gemma":[0.003720212,0.9945581,0.0004223214,0.001045279,0.0001225814,0.000009130942,0.00003275715,0.000004579772,0.00008503133],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01505601,"threshold_uncertainty_score":0.07962477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.668635578725368,"score_gpt":0.6601980577374982,"score_spread":0.008437520987869873,"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."}}