{"id":"W2742608623","doi":"10.1016/j.jcct.2017.08.001","title":"Effect of the ratio of coronary arterial lumen volume to left ventricle myocardial mass derived from coronary CT angiography on fractional flow reserve","year":2017,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Fractional flow reserve; Cardiology; Ventricle; Internal medicine; Lumen (anatomy); Coronary angiography; Radiology; 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":[0.001157421,0.0002961558,0.001358659,0.0005373107,0.0002318642,0.0000681637,0.0004950018,0.000103021,0.00002248456],"category_scores_gemma":[0.0004303802,0.0002246792,0.007330031,0.0003613639,0.0002537588,0.0001786117,0.0001466682,0.0004401443,0.000004057923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005314,"about_ca_system_score_gemma":0.0001528005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001105719,"about_ca_topic_score_gemma":0.000001143603,"domain_scores_codex":[0.9965792,0.0006113685,0.0006973342,0.0002957495,0.001535503,0.0002808149],"domain_scores_gemma":[0.9967114,0.000474373,0.0006611028,0.001294023,0.0006063174,0.0002527588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004876206,0.0002966749,0.9207271,0.0001081044,0.02260804,0.0008045338,0.0001338319,0.02478312,0.004687838,0.000003840357,0.006898787,0.01407193],"study_design_scores_gemma":[0.007764874,0.001607609,0.9702606,0.0005209083,0.003752807,0.0004437546,0.00001817734,0.000660944,0.01144503,0.00004735349,0.003283854,0.0001941318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840267,0.004195407,0.007060448,0.000316497,0.003420535,0.0005994553,0.0001743998,0.00001948279,0.0001870843],"genre_scores_gemma":[0.9967669,0.00007987032,0.001662828,0.00009499297,0.00132105,0.000005389398,0.00002893301,0.00003629646,0.000003752168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04953346,"threshold_uncertainty_score":0.9162152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007371701475479432,"score_gpt":0.2354779241726759,"score_spread":0.2281062226971964,"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."}}