{"id":"W2976310101","doi":"10.1371/journal.pone.0223062","title":"Optimal threshold of adherence to lipid lowering drugs in predicting acute coronary syndrome, stroke, or mortality: A cohort study","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université Laval","funders":"Government of Canada","keywords":"Medicine; Acute coronary syndrome; Internal medicine; Stroke (engine); Proportional hazards model; Cohort; Censoring (clinical trials); Incidence (geometry); Emergency medicine; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005099888,0.0004811984,0.0004757788,0.0006999639,0.0007658234,0.001256611,0.0008072397,0.0008680132,0.0006965927],"category_scores_gemma":[0.00983605,0.0004065091,0.0009989528,0.0009577925,0.0005217566,0.0006200006,0.0007199685,0.001006809,0.0001322249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001923,"about_ca_system_score_gemma":0.001616602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0484103,"about_ca_topic_score_gemma":0.05279627,"domain_scores_codex":[0.9978077,0.0007641187,0.0001648203,0.0005274542,0.000406464,0.0003294613],"domain_scores_gemma":[0.9953328,0.001113966,0.0012133,0.001034844,0.0006295056,0.0006756479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006963526,0.00008642858,0.9977723,0.000006288931,0.0001951465,0.00003819112,0.00009172362,0.00005479481,0.00007655745,0.0000257781,0.00009846844,0.0008578939],"study_design_scores_gemma":[0.0001149844,0.0004376182,0.9967515,0.00001633726,0.0002719373,0.0001505628,0.0002231754,0.001668512,0.00006212363,0.0000815696,0.0002079658,0.00001371762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990088,0.0001625826,0.0002752433,0.00003658711,0.000008750911,0.0000330484,0.0003101223,0.000003754972,0.0001612908],"genre_scores_gemma":[0.9994023,0.00004283079,0.0002254388,0.00001904862,0.000007205288,0.00001518717,0.0002237951,0.000001372996,0.00006295893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0484103,"threshold_uncertainty_score":0.09625703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07101810205442427,"score_gpt":0.3134903483863848,"score_spread":0.2424722463319606,"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."}}