{"id":"W1967638307","doi":"10.1016/j.cjca.2012.07.024","title":"010 Influence of Dual Energy, Iterative Reconstruction and Spatial Resolution on Accurate Determination of Lumen Stenosis During CT Coronary Angiography: A Phantom Study","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Imaging phantom; Lumen (anatomy); Stenosis; Nuclear medicine; Iodixanol; Radiology; Image quality; Iterative reconstruction; Angiography; Artery; Contrast medium; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001936853,0.0003775254,0.0003996851,0.0004723375,0.0001886742,0.0009897754,0.0005097203,0.0007305946,0.001045889],"category_scores_gemma":[0.01337077,0.0008282469,0.0003132788,0.0004353228,0.0005386362,0.0005767783,0.0003559149,0.0004209765,0.0002271226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003393063,"about_ca_system_score_gemma":0.000402641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001568705,"about_ca_topic_score_gemma":0.001246913,"domain_scores_codex":[0.998814,0.0007855046,0.00007230799,0.0001085226,0.0001586354,0.00006107623],"domain_scores_gemma":[0.986485,0.01154099,0.0006640962,0.000623985,0.0005387769,0.000147115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02077031,0.0008338121,0.01250863,0.0005660173,0.0002439372,0.0007903719,0.000911837,0.01752382,0.8981226,0.0006297766,0.0002772806,0.04682163],"study_design_scores_gemma":[0.0005175757,0.009731486,0.0484244,0.000115218,0.0009907946,0.004601528,0.000260246,0.1203365,0.8124602,0.0002957064,0.002095573,0.0001707335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693351,0.00215501,0.02700577,0.00008970185,0.00001373098,0.00004726513,0.0001124382,0.00009107466,0.001149822],"genre_scores_gemma":[0.9774199,0.0008434672,0.02045641,0.00005827362,0.0000177666,0.00003030444,0.0001271768,0.0002021908,0.0008446831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001936853,"threshold_uncertainty_score":0.01024318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008025041901399629,"score_gpt":0.2162131664724949,"score_spread":0.2081881245710952,"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."}}