{"id":"W3088077736","doi":"10.1007/s00330-020-07292-9","title":"Assessment of lateral costal artery with CT angiography: determination of prevalence and vessel length in the general population and its potential impact for coronary artery bypass grafting","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Cardiac and Coronary Surgery Techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Angina; Artery; Coronary artery disease; Population; Angiography; Radiology; Cardiology; Internal medicine; Right coronary artery; Internal thoracic artery; Bypass grafting; Coronary angiography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003514795,0.00009812056,0.0002428358,0.00008166422,0.00002426786,0.000005916093,0.00004413913,0.00001928052,0.000002355957],"category_scores_gemma":[0.00001361863,0.00006805253,0.00008718444,0.00007414594,0.00005889588,0.00008211931,0.00002212014,0.00008088847,3.951691e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009359713,"about_ca_system_score_gemma":0.00001375785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007222947,"about_ca_topic_score_gemma":6.63942e-7,"domain_scores_codex":[0.9991087,0.0002932412,0.0002242982,0.0001728223,0.00008796187,0.0001129599],"domain_scores_gemma":[0.9996592,0.00007544952,0.0001179531,0.0000792562,0.00003156661,0.0000365133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003954586,0.00004001466,0.9787931,0.0001258146,0.00006977071,0.0001537874,0.0002648224,0.00001248353,0.01191268,0.00003929622,0.00003590439,0.008156826],"study_design_scores_gemma":[0.0007753032,0.001441925,0.9938418,0.00004788202,0.00009502917,0.000970243,0.00002956476,0.00261217,0.00009500537,0.00001329923,0.00001260022,0.00006516244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981904,0.0003906204,0.0007087684,0.0001420937,0.00002381289,0.0004256823,0.00003418441,0.00001606578,0.00006836332],"genre_scores_gemma":[0.9989162,0.0001091212,0.0006853581,0.0001250515,0.00006835932,0.000009194619,0.00007135957,0.00001259883,0.000002777745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01504868,"threshold_uncertainty_score":0.2775102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422491354829046,"score_gpt":0.2777360382013745,"score_spread":0.2635111246530841,"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."}}