{"id":"W2775195220","doi":"10.5114/aic.2017.71620","title":"Contrast-enhanced computed tomography for early detection of acute myocardial infarction due to blunt chest trauma","year":2017,"lang":"en","type":"article","venue":"Advances in Interventional Cardiology","topic":"Trauma Management and Diagnosis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Myocardial infarction; Interventional cardiology; Blunt; Radiology; Computed tomography; Blunt trauma; Cardiology; Internal medicine; Nuclear medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001486077,0.0005553704,0.0005927998,0.003803146,0.0002450931,0.00133087,0.0004660426,0.0007368796,0.006079659],"category_scores_gemma":[0.006768652,0.0003978592,0.0003874047,0.001008212,0.0002714293,0.001027174,0.0005862112,0.001192287,0.003021731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000272137,"about_ca_system_score_gemma":0.0008101229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001569251,"about_ca_topic_score_gemma":0.001753244,"domain_scores_codex":[0.9993975,0.0001558675,0.0001179731,0.00006368794,0.0002170162,0.00004792802],"domain_scores_gemma":[0.9981188,0.0006810821,0.0002841153,0.00008201457,0.0006504195,0.0001835516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002292609,0.0006766343,0.2657859,0.001826815,0.0002076602,0.01207798,0.0003110528,0.0002985987,0.01229639,0.0006274338,0.09921441,0.6043846],"study_design_scores_gemma":[0.000496486,0.00204047,0.7228168,0.006379717,0.001157067,0.08582365,0.001107367,0.004977508,0.01573399,0.002221076,0.1570164,0.000229493],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3107804,0.5258015,0.01846643,0.0395886,0.007915856,0.002086106,0.005328738,0.001394829,0.08863752],"genre_scores_gemma":[0.6634606,0.266496,0.03460139,0.004836373,0.006549235,0.0006251639,0.004523178,0.0002515079,0.01865651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006079659,"threshold_uncertainty_score":0.02033854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848532134864911,"score_gpt":0.3222849271632514,"score_spread":0.3037996058146023,"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."}}