{"id":"W2988380919","doi":"10.1080/13696998.2019.1686311","title":"Economic burden associated with inadequate antidepressant medication management among patients with depression and known cardiovascular diseases: insights from a United States–based retrospective claims database analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Economics","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Brain and Cognition Discovery Foundation","funders":"","keywords":"Medicine; Major depressive disorder; Retrospective cohort study; Depression (economics); Emergency medicine; Fluoxetine; Antidepressant; Myocardial infarction; Emergency department; Internal medicine; Database; Psychiatry; Anxiety","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":[0.002123577,0.0002933709,0.0004458822,0.002109831,0.0003609918,0.001159483,0.000553959,0.0004668009,0.001004475],"category_scores_gemma":[0.008262735,0.0003928203,0.001077815,0.003572922,0.0002420154,0.0005781485,0.001006326,0.0006422244,0.0001475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005902777,"about_ca_system_score_gemma":0.0005463501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007763,"about_ca_topic_score_gemma":0.01132274,"domain_scores_codex":[0.998218,0.0006312072,0.0004347119,0.0002544087,0.0003407643,0.0001208067],"domain_scores_gemma":[0.9903433,0.001526708,0.006586811,0.0006121665,0.0006185857,0.0003123228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005649421,0.00002592762,0.9985741,0.00001461395,0.0002128346,0.00003896961,0.00002803722,0.00008576255,0.00002087175,0.00003240504,0.0002074436,0.0007023531],"study_design_scores_gemma":[0.000006877503,0.00002893494,0.9985352,0.00002187253,0.0001045316,0.0001977003,0.0000957446,0.0007387126,0.00002054287,0.0000335722,0.0002109895,0.000005266787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947465,0.0007839463,0.0001715874,0.0002025593,0.000009822279,0.00002373697,0.003594655,0.000005267936,0.0004618341],"genre_scores_gemma":[0.9956707,0.0003772652,0.0002185606,0.00008526571,0.00002498115,0.00001701067,0.003538811,0.000002570802,0.00006494683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01007763,"threshold_uncertainty_score":0.02003795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005058976549069971,"score_gpt":0.2382602964369924,"score_spread":0.2332013198879224,"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."}}