{"id":"W2954337271","doi":"10.1016/j.jcct.2019.06.016","title":"The association of coronary lumen volume to left ventricle mass ratio with myocardial blood flow and fractional flow reserve","year":2019,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"GE Healthcare; Dalio Foundation; Foundation for the National Institutes of Health","keywords":"Medicine; Fractional flow reserve; Cardiology; Ventricle; Internal medicine; Blood flow; Lumen (anatomy); Myocardial infarction; Coronary angiography","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":[0.001424233,0.000157929,0.0006839774,0.0002941524,0.0001032769,0.0000695445,0.0001115151,0.00008934666,0.000007381745],"category_scores_gemma":[0.0002144332,0.0001155262,0.00118744,0.0004706166,0.00004731587,0.0001450966,0.00004338688,0.0003595313,0.000004919686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007131558,"about_ca_system_score_gemma":0.0001703118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001379474,"about_ca_topic_score_gemma":0.000001098622,"domain_scores_codex":[0.9975971,0.0002192109,0.0004271487,0.0001837615,0.001337473,0.0002352927],"domain_scores_gemma":[0.9977205,0.0003861338,0.0002833688,0.0003665581,0.001055111,0.0001883281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006911966,0.000119784,0.9016291,0.00005866901,0.01524516,0.0001816099,0.0001602367,0.0701478,0.0002017257,0.00001130225,0.006138833,0.005414602],"study_design_scores_gemma":[0.007580975,0.001121669,0.9356154,0.0002395224,0.003659613,0.001212217,0.0001117725,0.006341933,0.0004316067,0.00004902083,0.04343743,0.0001988822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424421,0.0159904,0.03711248,0.001470312,0.001555736,0.0007423717,0.00004319671,0.00003441165,0.0006090073],"genre_scores_gemma":[0.9909087,0.0003514285,0.007827801,0.0001263094,0.0006804165,0.000002975674,0.00001297876,0.00002610283,0.00006327522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06380586,"threshold_uncertainty_score":0.4711021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003667290097344837,"score_gpt":0.1957648061647591,"score_spread":0.1920975160674142,"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."}}