{"id":"W3009673715","doi":"10.1016/j.jcin.2020.01.219","title":"Routine CYP2C19 Genotyping to Adjust Thienopyridine Treatment After Primary PCI for STEMI","year":2020,"lang":"en","type":"article","venue":"JACC: Cardiovascular Interventions","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Merck Sharp and Dohme; Servier; Canada Excellence Research Chairs, Government of Canada; Fondation Leducq; Novo Nordisk; Medicines Company; Actelion Pharmaceuticals; Boston Scientific Corporation; Amgen; Boehringer Ingelheim; Fondation Simone et Cino Del Duca; Medtronic; Fédération Française de Cardiologie; Bayer; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; Biotronik; American College of Cardiology Foundation; Pfizer; Sanofi; Abbott Vascular; Abbott Laboratories","keywords":"Percutaneous coronary intervention; Thienopyridine; Myocardial infarction; Clopidogrel; Medicine; Prasugrel; Internal medicine; Clinical endpoint; Cardiology; Conventional PCI; Genotype; Randomized controlled trial; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0004633274,0.0004228333,0.001245074,0.0001762904,0.0001891533,0.00007030845,0.0001940758,0.0001477307,0.0003510171],"category_scores_gemma":[0.0001365646,0.0003721233,0.01023683,0.0004519658,0.00005489599,0.0001492781,0.0001213522,0.0001631336,0.0002674937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002782543,"about_ca_system_score_gemma":0.0001201867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000297624,"about_ca_topic_score_gemma":0.000006629987,"domain_scores_codex":[0.9973528,0.0001614057,0.0006202198,0.0007993663,0.0005441653,0.0005219977],"domain_scores_gemma":[0.9980413,0.00004709728,0.0000771244,0.0009868339,0.0002632787,0.0005843394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0123879,0.003483096,0.01069277,0.009395516,0.1382469,0.00206217,0.004242038,0.006348718,0.005551697,0.0006977994,0.01928441,0.787607],"study_design_scores_gemma":[0.02346355,0.004644306,0.04813013,0.002023555,0.0229454,0.0006510042,0.001024627,0.0003516263,0.007048846,0.00004672161,0.8881623,0.001507979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5623682,0.1452844,0.2756576,0.00499085,0.0008088377,0.007174854,0.0006473803,0.0007148143,0.002353126],"genre_scores_gemma":[0.9892295,0.001002309,0.003305827,0.002283379,0.00134762,0.001403057,0.0004183205,0.0001278493,0.0008821117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8688778,"threshold_uncertainty_score":0.999873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07921475331830882,"score_gpt":0.3028655398799813,"score_spread":0.2236507865616725,"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."}}