{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003972016,0.0001620201,0.0006460971,0.0001289404,0.00002357457,0.000009922344,0.0002372106,0.00006204863,0.001533911],"category_scores_gemma":[0.00009646478,0.0001424937,0.00004084744,0.0003799812,0.00003513191,0.0001175655,0.0001313736,0.0002800491,0.0004226362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006258009,"about_ca_system_score_gemma":0.0001656429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008407357,"about_ca_topic_score_gemma":0.0000161322,"domain_scores_codex":[0.9978694,0.00002457042,0.0005298755,0.0004240843,0.0008690725,0.0002830476],"domain_scores_gemma":[0.9988686,0.0000601356,0.0001474561,0.0006182686,0.0001204705,0.0001851044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003476811,0.003192595,0.9873232,0.0002316602,0.0005405389,0.00009662909,0.0006598032,0.00002018042,0.007395972,0.000002847899,0.00004668294,0.0001422473],"study_design_scores_gemma":[0.001682383,0.003980743,0.9864725,0.001919833,0.000314524,0.00002277715,0.001330867,0.001390528,0.002732419,0.000001488983,0.000003208557,0.0001486832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952382,0.00003283829,0.00002076346,0.00008503968,0.00007489848,0.002598445,0.00001556309,0.00006076057,0.001873536],"genre_scores_gemma":[0.9920433,0.00003805353,0.0009661153,0.0001666202,0.00003551933,0.0002843322,0.00001098616,0.00002143,0.006433677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004663553,"threshold_uncertainty_score":0.9993788,"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."}}