{"id":"W2095816786","doi":"10.3399/bjgp15x686305","title":"Harnessing primary care to enhance recovery from severe mental illness","year":2015,"lang":"en","type":"article","venue":"British Journal of General Practice","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Mental illness; Primary care; Medicine; Psychiatry; Data science; Mental health; Family medicine; Computer science","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":[0.005515556,0.0003430213,0.0004977958,0.001272042,0.003792247,0.003797559,0.001733227,0.002696074,0.01490793],"category_scores_gemma":[0.01646236,0.0003808828,0.001233596,0.001020289,0.001741167,0.002756356,0.01399993,0.004396857,0.001498806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00500901,"about_ca_system_score_gemma":0.02026266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01968946,"about_ca_topic_score_gemma":0.05877218,"domain_scores_codex":[0.9941648,0.003054898,0.0001505219,0.0003394043,0.0009127697,0.001377663],"domain_scores_gemma":[0.9900801,0.002733551,0.0006410302,0.0005908427,0.001042915,0.004911578],"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":[0.00026502,0.002118476,0.01879738,0.003714694,0.0003057528,0.002019257,0.02994008,0.0005379435,0.0009908313,0.02805537,0.2574052,0.6558499],"study_design_scores_gemma":[0.001489146,0.002936585,0.1130367,0.01285048,0.0005200585,0.002502945,0.03943111,0.001756417,0.0009123777,0.04684607,0.777554,0.000164159],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1098279,0.02803104,0.01306178,0.6407037,0.007358913,0.001588524,0.0005454426,0.0005870722,0.1982957],"genre_scores_gemma":[0.8476944,0.01535117,0.01575058,0.1049725,0.003751968,0.001066358,0.0002988811,0.0001382618,0.01097591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01968946,"threshold_uncertainty_score":0.04987198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071136548549868,"score_gpt":0.4197001878700556,"score_spread":0.3125865330150688,"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."}}