{"id":"W2328082986","doi":"10.1016/s0735-1097(16)32209-4","title":"THE NOVEL IMAGING OF AORTIC STENOSIS USING 4-DIMENSIONAL COMPUTED TOMOGRAPHY; NEW PHYSIOLOGICAL INSIGHTS USING EN-FACE QUANTITATIVE ANALYSIS","year":2016,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Montreal Heart Institute","funders":"","keywords":"Medicine; Computed tomography; Stenosis; Radiology","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":[0.001428843,0.0006350381,0.0004217785,0.00190818,0.0002715807,0.002081107,0.0007038229,0.000862836,0.001147552],"category_scores_gemma":[0.00248169,0.0004834392,0.0003252153,0.0005574062,0.0008698053,0.001858395,0.0009009397,0.000741177,0.0002253701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002711689,"about_ca_system_score_gemma":0.0003369761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007113364,"about_ca_topic_score_gemma":0.001097878,"domain_scores_codex":[0.9995753,0.0001632432,0.00002466487,0.00005311651,0.0001569803,0.00002668091],"domain_scores_gemma":[0.9994076,0.0002432622,0.00008263173,0.00007302483,0.0001538356,0.00003958416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006219773,0.0003322429,0.0359981,0.0006202305,0.0002242413,0.001144421,0.0005950068,0.0389356,0.4934049,0.01311554,0.002240358,0.4127674],"study_design_scores_gemma":[0.00003752172,0.0002052004,0.04430298,0.00009865106,0.0001792466,0.004871706,0.0004216701,0.8361684,0.09568853,0.01205861,0.005771137,0.0001962872],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2676573,0.001936353,0.7243195,0.001094161,0.0001429514,0.0001114227,0.000284296,0.000548648,0.003905359],"genre_scores_gemma":[0.6988438,0.001368523,0.2972532,0.0002636139,0.0002970418,0.00008053136,0.00009878574,0.000161453,0.00163308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002081107,"threshold_uncertainty_score":0.007556558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898656542434515,"score_gpt":0.2698783649699868,"score_spread":0.2508917995456417,"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."}}