{"id":"W2781276370","doi":"10.1016/j.bja.2017.11.063","title":"Incidence of thrombosis in perioperative and non-operative myocardial infarction","year":2017,"lang":"en","type":"article","venue":"British Journal of Anaesthesia","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Population Health Research Institute; Hamilton Health Sciences; Hamilton General Hospital","funders":"St. Jude Medical; Hamilton Health Sciences","keywords":"Medicine; Perioperative; Thrombus; Myocardial infarction; Culprit; Thrombosis; Cardiology; Surgery; Internal medicine; Radiology","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":[0.0006562621,0.0002053555,0.0005839209,0.001427125,0.0002548438,0.0009501422,0.0003677499,0.0008690627,0.004749787],"category_scores_gemma":[0.004369373,0.0003852739,0.001039781,0.001557742,0.000231934,0.0006138965,0.0005668412,0.001293561,0.0004888871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003524399,"about_ca_system_score_gemma":0.0002673686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002226872,"about_ca_topic_score_gemma":0.002308473,"domain_scores_codex":[0.9986896,0.0003452893,0.0002650174,0.0001669367,0.0002809814,0.0002522364],"domain_scores_gemma":[0.9968257,0.0007574201,0.001477567,0.0001362982,0.0002668102,0.0005362989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006410554,0.00005102003,0.9941994,0.00006851544,0.0002115137,0.0002585957,0.0000792839,0.00005491882,0.000193694,0.00009560336,0.0002779722,0.003868445],"study_design_scores_gemma":[0.000009891975,0.0001659674,0.9982438,0.0000191131,0.0000597739,0.0008999598,0.0001345799,0.0001197283,0.00003167026,0.00008362843,0.0002246327,0.000007124888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910316,0.004565434,0.000209364,0.0002062951,0.00005542946,0.000009309181,0.001116658,0.00001343281,0.002792464],"genre_scores_gemma":[0.9977248,0.0009537326,0.00006898591,0.00004337141,0.00007700449,0.000008049429,0.0007061796,0.000003617331,0.0004143944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004749787,"threshold_uncertainty_score":0.01588959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285809046566575,"score_gpt":0.2961481772935258,"score_spread":0.28329008682786,"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."}}