{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004645449,0.000206929,0.0003388093,0.0001447373,0.0000386332,0.00004011185,0.00009420737,0.00007075851,0.0002743926],"category_scores_gemma":[0.0007469946,0.0002152757,0.0004697021,0.0003629966,0.0002305397,0.0001022783,0.00008172802,0.0002935742,0.002045098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009230699,"about_ca_system_score_gemma":0.0003710148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002877601,"about_ca_topic_score_gemma":0.000007600299,"domain_scores_codex":[0.9986088,0.0001157042,0.0002114846,0.0002713964,0.0003268633,0.0004657625],"domain_scores_gemma":[0.9983063,0.000398355,0.0000552512,0.0004540263,0.0001887213,0.0005973683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003967842,0.0001801562,0.4933037,0.00006139636,0.0001490863,0.001191969,0.0003169701,0.00003106374,0.0000163262,0.001226311,0.4844777,0.0190056],"study_design_scores_gemma":[0.002065905,0.0002942889,0.3325776,0.0004507799,0.0007183862,0.0007470408,0.0005039218,0.0001173683,0.0001103202,0.0006916699,0.6614798,0.0002429443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1506178,0.6279137,0.001900322,0.01960295,0.03326039,0.0006298593,0.00029043,0.0003547876,0.1654298],"genre_scores_gemma":[0.9748258,0.001720663,0.001275614,0.005244259,0.002221182,0.00001574299,0.0001370505,0.00005934059,0.01450037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.824208,"threshold_uncertainty_score":0.9987319,"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."}}