{"id":"W2977710227","doi":"10.1007/s40256-019-00373-1","title":"Efficacy and Safety of Clopidogrel, Prasugrel and Ticagrelor in ACS Patients Treated with PCI: A Propensity Score Analysis of the RENAMI and BleeMACS Registries","year":2019,"lang":"en","type":"article","venue":"American Journal of Cardiovascular Drugs","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta","funders":"","keywords":"Prasugrel; Medicine; Ticagrelor; Clopidogrel; Mace; Percutaneous coronary intervention; Internal medicine; Conventional PCI; Myocardial infarction; Acute coronary syndrome; Cardiology; Clinical endpoint; Randomized controlled trial","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":[0.004613823,0.0003679342,0.001028461,0.001402694,0.0003834182,0.001376084,0.0005758599,0.0006686667,0.001121936],"category_scores_gemma":[0.009754363,0.0003415768,0.002440284,0.002602483,0.0004198802,0.0009462103,0.0009946466,0.0008666409,0.0002575449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004385557,"about_ca_system_score_gemma":0.0005814869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002636665,"about_ca_topic_score_gemma":0.003555601,"domain_scores_codex":[0.9952487,0.001941938,0.0007039845,0.00102844,0.0007333545,0.0003434988],"domain_scores_gemma":[0.9918834,0.001886164,0.003859763,0.001298728,0.0006947165,0.0003773166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001665293,0.00005863204,0.993992,0.00002607646,0.001566857,0.00003987182,0.00005322632,0.0001892175,0.000178247,0.00008803937,0.000303656,0.001838922],"study_design_scores_gemma":[0.0001539919,0.0003001768,0.9968983,0.000009350529,0.0008990708,0.0001262139,0.00009914889,0.0009625364,0.00007640655,0.0001000218,0.0003610823,0.00001379969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970852,0.0006405406,0.0003311647,0.00007690208,0.00001706617,0.000022887,0.001154987,0.000007347876,0.0006639548],"genre_scores_gemma":[0.9978811,0.0001984099,0.0001442771,0.0000493839,0.00003776967,0.00002016585,0.001553351,0.000008046759,0.0001073779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004613823,"threshold_uncertainty_score":0.02440047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006303911963001988,"score_gpt":0.1991977726743948,"score_spread":0.1928938607113928,"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."}}