{"id":"W4210682336","doi":"10.2196/30986","title":"Foundations for Meaningful Consent in Canada’s Digital Health Ecosystem: Retrospective Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Health Infoway; University of Toronto; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; Institute of Health Services and Policy Research; Government of Canada; Australian Government","keywords":"Odds; Informed consent; Health care; Logistic regression; Internet privacy; Psychology; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.007568078,0.0003264327,0.0004934754,0.003390824,0.01381113,0.004893865,0.0017442,0.001101816,0.003543795],"category_scores_gemma":[0.02744361,0.0007583994,0.0006343534,0.007045852,0.004699719,0.001674506,0.003549966,0.002583606,0.0002766823],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09538865,"about_ca_system_score_gemma":0.1895954,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.983905,"about_ca_topic_score_gemma":0.9885235,"domain_scores_codex":[0.9922597,0.001084926,0.0006088409,0.0007106825,0.002911532,0.002424379],"domain_scores_gemma":[0.9719681,0.004302416,0.005519568,0.001651454,0.01117356,0.005384985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008863131,0.000233093,0.8924685,0.0002196985,0.0000239144,0.001073746,0.08412533,0.0000950652,0.00014901,0.002965874,0.004061601,0.01449563],"study_design_scores_gemma":[0.00001561431,0.0001189503,0.7532482,0.0004806274,0.00003608806,0.000820317,0.2181455,0.0005618059,0.0001603419,0.0004362685,0.02589412,0.00008222558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874768,0.0008181119,0.0003404857,0.001864266,0.00002421321,0.0006666156,0.001673257,0.00001096979,0.007125274],"genre_scores_gemma":[0.9959603,0.0007124312,0.0006038456,0.0006027028,0.00001079913,0.0001614968,0.0005964695,0.000007486681,0.00134448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9046113,"threshold_uncertainty_score":0.6920964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1518621223016295,"score_gpt":0.4358487499094741,"score_spread":0.2839866276078445,"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."}}