{"id":"W4391926579","doi":"10.3233/shti231305","title":"Mental Health and Addiction Data Use Cases: Macro Perspectives in Ontario","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Mental health; Addiction; Stakeholder; Business; Medicine; Public relations; Medical emergency; Political science; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003865528,0.0002598069,0.0003415554,0.002817967,0.008225561,0.004411156,0.001225437,0.0008933103,0.003280575],"category_scores_gemma":[0.01323429,0.0003786731,0.0004897168,0.009048352,0.004632743,0.002122753,0.004144575,0.00115805,0.0001956937],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1008993,"about_ca_system_score_gemma":0.06466508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9806495,"about_ca_topic_score_gemma":0.9903976,"domain_scores_codex":[0.9948772,0.001288067,0.000272644,0.0002661154,0.001553837,0.001742165],"domain_scores_gemma":[0.9857884,0.005250663,0.001897783,0.0004878873,0.004255489,0.002319802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002547028,0.0002231071,0.6655107,0.0007137534,0.000124802,0.006811901,0.2158885,0.001987966,0.001112241,0.04487949,0.02233473,0.04015822],"study_design_scores_gemma":[0.00002365687,0.00008318438,0.6205106,0.0004016717,0.00009226659,0.00078413,0.3125262,0.002412696,0.0003823279,0.003922078,0.05877662,0.00008447904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233401,0.00121336,0.001127651,0.01874863,0.00003577592,0.0003837589,0.004333013,0.00004327219,0.05077436],"genre_scores_gemma":[0.9901525,0.001310128,0.0009390193,0.001257635,0.00002264052,0.0001408931,0.0008906605,0.00002377377,0.005262779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8991007,"threshold_uncertainty_score":0.7320792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.209564060546773,"score_gpt":0.4974084860284832,"score_spread":0.2878444254817102,"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."}}