{"id":"W2780512299","doi":"10.1037/hea0000602","title":"Relationship between antidepressant therapy and risk for cardiovascular events in patients with and without cardiovascular disease.","year":2018,"lang":"en","type":"article","venue":"Health Psychology","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University; University of Calgary; Hôpital du Sacré-Cœur de Montréal; Concordia University; Université de Montréal; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Medicine; Mace; Hazard ratio; Depression (economics); Antidepressant; Internal medicine; Myocardial infarction; Beck Depression Inventory; Risk factor; Physical therapy; Psychiatry; Confidence interval; Anxiety","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001393611,0.0001926478,0.0008173539,0.0001761683,0.0002498888,0.000003572102,0.00004026014,0.0001227674,0.000002106988],"category_scores_gemma":[0.00009280851,0.0001563686,0.0001925741,0.0001771575,0.0001561915,0.0000567027,0.00001880291,0.0002665688,0.000003697013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008832874,"about_ca_system_score_gemma":0.0002198503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004575765,"about_ca_topic_score_gemma":0.0000329239,"domain_scores_codex":[0.9976303,0.0004394386,0.0004155468,0.0006268047,0.0003024679,0.0005854616],"domain_scores_gemma":[0.9983155,0.0001078487,0.0001144457,0.0006194616,0.00009445458,0.0007482954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001760443,0.00009013942,0.9707676,0.0003765724,0.000242334,9.835318e-7,0.0001749354,6.158241e-7,3.045293e-8,0.000009266715,0.0001576932,0.02641937],"study_design_scores_gemma":[0.01419564,0.00187629,0.9643426,0.0001331209,0.0002045345,0.00001156829,0.00001445175,0.000004198768,2.749304e-7,0.0001317829,0.01895853,0.0001270148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834937,0.01085308,0.0009207446,0.001077098,0.0002101524,0.003263889,0.00008874648,0.00003188595,0.0000606778],"genre_scores_gemma":[0.9921879,0.003594566,0.001027689,0.002574927,0.0003079565,0.0001629088,0.00009303866,0.00004035754,0.00001070597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02629236,"threshold_uncertainty_score":0.6376524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06049180973237295,"score_gpt":0.3833422583790572,"score_spread":0.3228504486466843,"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."}}