{"id":"W3021095386","doi":"10.1016/j.cjco.2020.04.010","title":"Usefulness of Cardiac Computed Tomography in Spontaneous Coronary Artery Dissection","year":2020,"lang":"en","type":"article","venue":"CJC Open","topic":"Cardiovascular Issues in Pregnancy","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-Québec","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Fondation Institut Universitaire de Cardiologie et de Pneumologie de Québec","keywords":"Artery dissection; Computed tomography; Medicine; Dissection (medical); Cardiology; Radiology; Artery; Internal medicine; Coronary angiography; Myocardial infarction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001643622,0.0001190903,0.0006539513,0.00008246303,0.00002060546,0.00001894169,0.000224753,0.00007380692,0.000087893],"category_scores_gemma":[0.00004506327,0.0001188,0.0002323292,0.000464534,0.00005172799,0.0001047274,0.0002359345,0.0001629282,0.00002196452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003724091,"about_ca_system_score_gemma":0.00004480818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003400585,"about_ca_topic_score_gemma":0.00001346454,"domain_scores_codex":[0.9989892,0.00009663693,0.0002612886,0.0002858194,0.0002181416,0.000148867],"domain_scores_gemma":[0.9993535,0.00004170604,0.0000455903,0.0003948662,0.00005692929,0.0001073871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006874667,0.001342786,0.5355635,0.002223846,0.00456894,0.09172771,0.01505896,0.0005803707,0.02241307,0.0009314334,0.007767527,0.3109472],"study_design_scores_gemma":[0.005719051,0.00102197,0.9413916,0.001648879,0.0006111828,0.01458419,0.001048287,0.000759072,0.01670985,0.0002141765,0.01567838,0.0006133344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897563,0.001849679,0.0002510475,0.0002395974,0.0004027742,0.001126109,0.00001548799,0.00005019547,0.006308766],"genre_scores_gemma":[0.9988934,0.00004040838,0.000605862,0.0001720845,0.0001176208,0.00003394274,0.00005510994,0.00002434997,0.00005722562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4058281,"threshold_uncertainty_score":0.4844524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190658943769121,"score_gpt":0.2648439781534127,"score_spread":0.2429373887157215,"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."}}