{"id":"W2592603111","doi":"10.1016/j.injury.2017.02.025","title":"Cardiac magnetic resonance imaging in suspected blunt cardiac injury: A prospective, pilot, cohort study","year":2017,"lang":"en","type":"article","venue":"Injury","topic":"Trauma Management and Diagnosis","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Medical Research Council; National Health and Medical Research Council; Circle Cardiovascular Imaging","keywords":"Medicine; Mace; Cardiology; Prospective cohort study; Ventricle; Cardiac magnetic resonance imaging; Internal medicine; Magnetic resonance imaging; Cohort; Radiology; Myocardial infarction; Percutaneous coronary intervention","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006227563,0.0003025375,0.0006903888,0.0002815798,0.0002625402,0.0001807113,0.0003292031,0.00005093759,0.0001182168],"category_scores_gemma":[0.0003233711,0.0002934207,0.0001420757,0.0002571565,0.0001660997,0.0002995477,0.0002822549,0.0003368279,0.0001358992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557113,"about_ca_system_score_gemma":0.0000755911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002183612,"about_ca_topic_score_gemma":0.0001640551,"domain_scores_codex":[0.9977549,0.0001078894,0.0003879517,0.0007220372,0.0005156008,0.0005116583],"domain_scores_gemma":[0.9981003,0.00005616553,0.0001361995,0.001437011,0.0001275984,0.0001426962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005968485,0.0007399525,0.9652031,0.00002312745,0.0000547816,0.0001396664,0.0002453429,8.91996e-8,0.0004499843,0.0002106592,0.008472725,0.02386373],"study_design_scores_gemma":[0.001736347,0.001122906,0.9867796,0.0001304299,0.0002558271,8.283448e-7,0.0002955026,0.00001113025,0.0004165099,0.0001394821,0.008808465,0.0003029797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562895,0.002095089,8.578297e-7,0.0006331745,0.0007450604,0.003355527,0.00004602585,0.000179693,0.03665511],"genre_scores_gemma":[0.9965005,0.0002490592,0.0000859701,0.0001219331,0.000361041,0.0006916242,0.00001091861,0.00005653159,0.001922445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04021101,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325085867003919,"score_gpt":0.2939695947786368,"score_spread":0.2807187361085976,"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."}}