{"id":"W2907539262","doi":"10.1503/cmaj.181008","title":"Social and medical models of disability and mental health: evolution and renewal","year":2019,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Mental illness; Psychiatry; Term (time); Gerontology; Data science; Medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004163305,0.00009500153,0.0002883094,0.00006440229,0.0008505875,0.000008313584,0.00006954748,0.0003985783,0.001104588],"category_scores_gemma":[0.000224378,0.0000846098,0.00002681626,0.00007932774,0.0001266184,0.0001168321,0.00004738536,0.0008436416,0.000009399584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632539,"about_ca_system_score_gemma":0.003071391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01784812,"about_ca_topic_score_gemma":0.07401314,"domain_scores_codex":[0.9966658,0.0007031493,0.000721777,0.0001666221,0.001232483,0.000510134],"domain_scores_gemma":[0.9969954,0.0002613802,0.0003613802,0.00005393549,0.0001126722,0.0022152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000293319,0.00003132029,0.9712672,0.0003477823,0.00002058252,0.000001780863,0.003198237,1.116832e-7,0.000001087694,0.00354175,0.009757414,0.01180337],"study_design_scores_gemma":[0.01003727,0.0009390416,0.879206,0.002144486,0.00002641901,0.00009080421,0.01671176,0.008137548,0.000001298594,0.01635249,0.06589576,0.0004571464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410845,0.0006487967,0.00002276756,0.05592189,0.0006865192,0.0004263393,0.00008081237,0.000006424107,0.00112195],"genre_scores_gemma":[0.9910526,0.0005452785,0.00004189335,0.00770804,0.0004632201,0.000007283356,0.00003583462,0.000007551084,0.0001382514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09206125,"threshold_uncertainty_score":0.9998085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07952469536867625,"score_gpt":0.3873957804788505,"score_spread":0.3078710851101743,"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."}}