{"id":"W2918130765","doi":"10.1371/journal.pone.0211464","title":"Clinical impact of a structured secondary cardiovascular prevention program following acute coronary syndromes: A prospective multicenter healthcare intervention","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"Faculté de Médecine, Université de Genève; Abbott Vascular; St. Jude Medical; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Sanofi; Eli Lilly and Company; AstraZeneca; Schweizerische Herzstiftung; Servier; Amgen; Reuter Foundation; Pfizer; Boston Scientific Corporation; National Science Foundation","keywords":"Mace; Medicine; Clinical endpoint; Acute coronary syndrome; Prospective cohort study; Internal medicine; Physical therapy; Emergency medicine; Clinical trial; Myocardial infarction; Percutaneous coronary intervention","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":[0.0032474,0.0006886117,0.0005735983,0.0006427262,0.0005076078,0.0007168234,0.0004774375,0.001172556,0.001519212],"category_scores_gemma":[0.005064876,0.0002808486,0.00104056,0.0007583607,0.0003505679,0.0004068102,0.0009737951,0.0007549792,0.0001241033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008310787,"about_ca_system_score_gemma":0.002126045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003828955,"about_ca_topic_score_gemma":0.003473253,"domain_scores_codex":[0.9967422,0.002115869,0.0001671959,0.0003443646,0.0002566809,0.0003737987],"domain_scores_gemma":[0.9964589,0.0005596182,0.001187394,0.0002213884,0.0002814279,0.00129118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.07694159,0.03908848,0.8276873,0.0005869088,0.002516707,0.000217317,0.0004170987,0.0009257937,0.00155097,0.0001189292,0.00120888,0.04874005],"study_design_scores_gemma":[0.02056776,0.0799592,0.8962643,0.0001334147,0.0009032376,0.0000965528,0.0002501341,0.00100789,0.000309769,0.00004700011,0.0004359006,0.00002486055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988662,0.0002814419,0.00006228061,0.0001233867,0.00001734008,0.0003047109,0.0001634357,0.000006139962,0.0001750912],"genre_scores_gemma":[0.9980018,0.0001945181,0.0004997525,0.0001333836,0.00006527264,0.0004701676,0.0005316871,0.000001220597,0.0001022383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003828955,"threshold_uncertainty_score":0.01717407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04763579998940816,"score_gpt":0.3969094203108061,"score_spread":0.349273620321398,"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."}}