{"id":"W2673874234","doi":"10.1080/09537104.2017.1320372","title":"Personalizing antiplatelet therapies: What have we learned from recent trials?","year":2017,"lang":"en","type":"review","venue":"Platelets","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé","keywords":"Medicine; P2Y12; Percutaneous coronary intervention; Acute coronary syndrome; Aspirin; Ticagrelor; Intensive care medicine; Clopidogrel; Prasugrel; Internal medicine; Cardiology; Platelet; Thrombosis; Platelet aggregation inhibitor; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002118329,0.001353446,0.009224408,0.000360991,0.0005215075,0.0008805358,0.0007612263,0.001257442,0.002785675],"category_scores_gemma":[0.0007593017,0.0009890989,0.005427748,0.0001844627,0.0002549812,0.0006169116,0.0001652681,0.001307725,0.0009481926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269002,"about_ca_system_score_gemma":0.000751761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005255184,"about_ca_topic_score_gemma":0.000005669623,"domain_scores_codex":[0.9936098,0.001247241,0.001679201,0.001484348,0.001083086,0.0008963243],"domain_scores_gemma":[0.9945273,0.001027459,0.001513398,0.002222047,0.0001853758,0.0005244145],"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":[0.0004219642,0.0001555558,0.000004218867,0.004704721,0.01086887,0.002422992,0.0004058947,2.536965e-7,0.000004068002,0.00001064865,0.001623557,0.9793773],"study_design_scores_gemma":[0.003006102,0.0001283429,0.000004755007,0.04652258,0.007718361,0.0007121376,0.0004337151,0.000005162413,0.00001985188,0.0001747108,0.9403331,0.0009412128],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002463666,0.9936202,0.00002965615,0.0007901727,0.001584295,0.002303634,0.0002637841,0.0002523616,0.0009095171],"genre_scores_gemma":[0.00004465789,0.9933088,0.0001541057,0.0003062128,0.002226451,0.0001693918,0.002078947,0.0003007167,0.001410733],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9784361,"threshold_uncertainty_score":0.9999216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4183813471130396,"score_gpt":0.4426010490014832,"score_spread":0.02421970188844363,"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."}}