{"id":"W2145810686","doi":"10.1093/eurheartj/ehp295","title":"Personalized medicine and antiplatelet therapy: ready for prime time?","year":2009,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Pharmacogenetics; Personalized medicine; Intensive care medicine; Aspirin; Drug; Antiplatelet drug; Pharmacology; Pharmacotherapy; Precision medicine; Pharmacogenomics; Combination therapy; P2Y12; Bioinformatics; Internal medicine; Clopidogrel","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":[0.02382049,0.00154721,0.004478818,0.001864371,0.001990314,0.01234524,0.003341286,0.01621738,0.02920584],"category_scores_gemma":[0.03624722,0.0007237397,0.001408985,0.002071573,0.009821213,0.01802267,0.006792248,0.02553356,0.009150372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004628031,"about_ca_system_score_gemma":0.007181154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00154305,"about_ca_topic_score_gemma":0.00188591,"domain_scores_codex":[0.9859227,0.007867464,0.0006255348,0.001206315,0.003673488,0.0007045647],"domain_scores_gemma":[0.9589517,0.02750214,0.001639608,0.002565046,0.004648588,0.004692992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004218582,0.0001630758,0.001117623,0.002566722,0.0003841401,0.000514212,0.0006366174,0.0006978979,0.000621726,0.1686359,0.495228,0.3290123],"study_design_scores_gemma":[0.00008947621,0.0001596867,0.000836393,0.003331746,0.0001112346,0.0006684923,0.0006044945,0.0006637596,0.0002382901,0.2161454,0.7770509,0.0001002633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003927554,0.1479435,0.008045806,0.8266022,0.01128849,0.00002544937,0.0001555669,0.0002045735,0.005341695],"genre_scores_gemma":[0.02859297,0.4079351,0.01938469,0.4344602,0.09886745,0.0001460972,0.000548511,0.0002925971,0.00977248],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02920584,"threshold_uncertainty_score":0.1259763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06872503569603725,"score_gpt":0.3310418721325588,"score_spread":0.2623168364365216,"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."}}