{"id":"W1888242232","doi":"10.1016/j.crvasa.2015.09.008","title":"Coronary CT angiography","year":2015,"lang":"fr","type":"article","venue":"Cor et Vasa","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada)","funders":"","keywords":"Coronary angiography; Medicine; Physics; Cardiology; Myocardial infarction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004629291,0.001337288,0.001100705,0.003559445,0.0008509816,0.001495855,0.0005178909,0.001580415,0.04472532],"category_scores_gemma":[0.002684854,0.0004550569,0.000779694,0.001520723,0.0005223966,0.001203235,0.0006219249,0.002200635,0.009171026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000634783,"about_ca_system_score_gemma":0.001057129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00320635,"about_ca_topic_score_gemma":0.002672941,"domain_scores_codex":[0.9994059,0.00009017518,0.00005962968,0.0001610061,0.0001816302,0.0001015498],"domain_scores_gemma":[0.9991147,0.0002158266,0.0001205483,0.0001342516,0.0002711216,0.0001436079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002481935,0.0006824618,0.1328759,0.002670722,0.0008568793,0.122535,0.0004494027,0.002068463,0.04190436,0.01182532,0.1691979,0.5124516],"study_design_scores_gemma":[0.0005310103,0.001019917,0.204662,0.004080732,0.0008745554,0.4172367,0.0007464218,0.00709717,0.0108008,0.01868649,0.3338596,0.0004046664],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1464552,0.135547,0.05560336,0.01760158,0.0035064,0.001386773,0.0116784,0.003074795,0.6251467],"genre_scores_gemma":[0.7412857,0.066422,0.02241646,0.01339241,0.007234381,0.000669797,0.009716716,0.0005030074,0.1383596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04472532,"threshold_uncertainty_score":0.1496211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04129656000916498,"score_gpt":0.3157433347887734,"score_spread":0.2744467747796084,"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."}}