{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004611737,0.001060697,0.003646534,0.001835238,0.0003024796,0.00234236,0.001412442,0.001988522,0.004636856],"category_scores_gemma":[0.01146908,0.0004051555,0.002067693,0.002591077,0.0007012536,0.002599016,0.0009207408,0.00259437,0.001025781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007276367,"about_ca_system_score_gemma":0.002672298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001095239,"about_ca_topic_score_gemma":0.002641579,"domain_scores_codex":[0.9988172,0.0004021001,0.0003150854,0.0001625026,0.0002457025,0.0000573951],"domain_scores_gemma":[0.9895524,0.008254177,0.000732648,0.0001647348,0.001116617,0.0001793696],"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":[0.0003453173,0.000064339,0.0003754038,0.1014179,0.001039066,0.0001302044,0.0001133669,0.0002649924,0.0003467549,0.002626001,0.01596752,0.8773091],"study_design_scores_gemma":[0.0003593042,0.0007039855,0.002980412,0.1517485,0.006899391,0.001520024,0.0003675203,0.0003242304,0.0004556656,0.007733505,0.8268039,0.000103585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005610413,0.9987937,0.0000482232,0.0007524442,0.0001369926,0.000004478571,0.00001816648,0.000002320794,0.0001875372],"genre_scores_gemma":[0.0005035266,0.9985595,0.0001196241,0.0005198076,0.0002153096,0.000008471045,0.00001916614,0.000001241975,0.00005333894],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004636856,"threshold_uncertainty_score":0.02438945,"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."}}