{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001348826,0.000773211,0.001178916,0.0009404974,0.0004996472,0.0009090564,0.0005408628,0.001042893,0.002148741],"category_scores_gemma":[0.007862168,0.0003572956,0.000884777,0.001082126,0.0002356376,0.0005021818,0.00022137,0.001477083,0.0007967983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005206669,"about_ca_system_score_gemma":0.000797099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002985171,"about_ca_topic_score_gemma":0.005933789,"domain_scores_codex":[0.9981803,0.0005343477,0.0002844331,0.0003745727,0.0004956016,0.0001308811],"domain_scores_gemma":[0.9972825,0.0009689975,0.0006211824,0.000330267,0.0004779401,0.0003191279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007156861,0.001535304,0.7276031,0.0005832313,0.002118088,0.002562509,0.0004943092,0.001200175,0.01149055,0.000564703,0.0345859,0.2101053],"study_design_scores_gemma":[0.000802408,0.002752401,0.9651629,0.0004228331,0.001233579,0.003503215,0.0001798462,0.004495532,0.00613924,0.00134711,0.01388855,0.00007237343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8998941,0.02125752,0.01906829,0.008827292,0.002743892,0.0008166636,0.003731307,0.001443477,0.0422174],"genre_scores_gemma":[0.9805444,0.002221533,0.008443591,0.003951516,0.0009784356,0.0002003544,0.001332969,0.0001225618,0.002204488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002985171,"threshold_uncertainty_score":0.007188261,"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."}}