{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001169155,0.0001824684,0.0004466483,0.0001037937,0.0002448135,0.00004310871,0.00007110445,0.00003728725,0.0003835741],"category_scores_gemma":[0.00008859229,0.0001270743,0.0002709913,0.00008443285,0.0001260218,0.0000963656,0.000009035832,0.0002306336,0.00006160338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001566666,"about_ca_system_score_gemma":0.00004641241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.943938e-7,"about_ca_topic_score_gemma":1.610055e-8,"domain_scores_codex":[0.9987146,0.0002389725,0.0002548073,0.0002165377,0.0002954538,0.0002796355],"domain_scores_gemma":[0.9992283,0.00006169752,0.00007807164,0.0001985473,0.0001183065,0.0003150576],"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":[0.01059808,0.0006415911,0.008053367,0.00007704466,0.002076115,0.002560147,0.00233304,0.000004165372,0.1888726,0.0005276885,0.2421011,0.5421551],"study_design_scores_gemma":[0.01480887,0.003099204,0.100225,0.0003101836,0.0002299424,0.01229667,0.000116143,0.0000594415,0.0009886975,0.0001923411,0.8674119,0.0002616479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9411114,0.03617956,0.001011706,0.01129014,0.0001871356,0.0006324411,0.000009623112,0.00012839,0.009449616],"genre_scores_gemma":[0.9725701,0.008441387,0.001774699,0.01058509,0.003018535,0.000001883703,0.00004196683,0.00007955086,0.003486794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6253108,"threshold_uncertainty_score":0.5181939,"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."}}