{"id":"W3020289976","doi":"10.1016/j.jagp.2020.04.017","title":"The Biopsychosocial Liability for Late-Life Depression","year":2020,"lang":"en","type":"editorial","venue":"American Journal of Geriatric Psychiatry","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute of Mental Health","keywords":"Biopsychosocial model; Depression (economics); Comorbidity; Psychiatry; Mood; Anxiety; Psychology; Population; Clinical psychology; Major depressive disorder; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01523473,0.003775498,0.006303926,0.005166199,0.002567408,0.006997901,0.004418972,0.02102944,0.01402885],"category_scores_gemma":[0.07471197,0.001580974,0.002622472,0.003068142,0.002986359,0.004014993,0.001658825,0.02329449,0.005237087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004015536,"about_ca_system_score_gemma":0.004894787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004942929,"about_ca_topic_score_gemma":0.0131961,"domain_scores_codex":[0.9947514,0.001625407,0.0009242772,0.000441757,0.00203842,0.0002188145],"domain_scores_gemma":[0.9145941,0.06373268,0.002415429,0.001538091,0.01415578,0.003563928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003747054,0.00001385959,0.00009290025,0.0003254564,0.00005437973,0.00009487584,0.00000695783,0.00002637468,0.000009593175,0.0004520364,0.9951557,0.003730394],"study_design_scores_gemma":[0.001162041,0.0001327555,0.005862331,0.006464758,0.001289587,0.001152595,0.000254974,0.002215527,0.0001645571,0.01854405,0.9626196,0.0001372997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005893372,0.01164318,0.0001312802,0.06987962,0.9169803,0.00001529003,0.0001582255,0.00002563804,0.001107631],"genre_scores_gemma":[0.0006038497,0.004743727,0.00007568258,0.01160512,0.9809198,0.00002422534,0.00005590092,0.00001252062,0.001959285],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02102944,"threshold_uncertainty_score":0.08056986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07880849782756683,"score_gpt":0.3970194589533223,"score_spread":0.3182109611257555,"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."}}