{"id":"W2548595248","doi":"10.1161/circinterventions.113.000948","title":"Remote Ischemic Postconditioning During Percutaneous Coronary Interventions","year":2014,"lang":"en","type":"article","venue":"Circulation Cardiovascular Interventions","topic":"Cardiac Ischemia and Reperfusion","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Conventional PCI; Percutaneous coronary intervention; Cardiology; Ischemic preconditioning; Internal medicine; Creatine kinase; Ischemia; Unstable angina; Cuff; Troponin; Troponin I; Myocardial infarction; Anesthesia; Surgery","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005744316,0.0002523931,0.0005967091,0.0003167086,0.0004162729,0.00006238584,0.0001104738,0.0001969835,0.000644527],"category_scores_gemma":[0.0003100382,0.000265531,0.006861951,0.0003242314,0.0001001869,0.0001921917,0.0001103192,0.0003617108,0.0001852929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000248654,"about_ca_system_score_gemma":0.00003988052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000349667,"about_ca_topic_score_gemma":0.000003308439,"domain_scores_codex":[0.9977428,0.0001780203,0.0006894511,0.0005453072,0.0005227759,0.000321647],"domain_scores_gemma":[0.9983932,0.00004761149,0.0001398101,0.0009158999,0.0003052611,0.0001982408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003645537,0.001366869,0.05232836,0.01119193,0.0183087,0.001268744,0.001025807,0.02364188,0.7554125,0.00139906,0.003554575,0.130137],"study_design_scores_gemma":[0.009699367,0.0005004231,0.8231558,0.01486252,0.01245639,0.06505527,0.0008957797,0.01212493,0.02713232,0.0005622605,0.03153029,0.002024681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9182265,0.003535641,0.06713704,0.0002061668,0.0005220101,0.0005731272,0.00001585037,0.0002909191,0.009492709],"genre_scores_gemma":[0.996124,0.000101762,0.001395201,0.00005498077,0.0004179223,0.00002346321,0.0004449304,0.00006124532,0.001376504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7708274,"threshold_uncertainty_score":0.9999797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119250059328002,"score_gpt":0.2776347547904678,"score_spread":0.2564422541971878,"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."}}