{"id":"W2509634621","doi":"10.1118/1.4961767","title":"Sci‐Thur PM – Colourful Interactions: Highlights 07: Canadian Computed Tomography Survey: National Diagnostic Reference Levels","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Medicine; Percentile; Abdomen; Nuclear medicine; Pelvis; Computed tomography; Radiology; Medical physics; Reference values; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00124395,0.0003978611,0.0002305788,0.001327139,0.002437446,0.002607575,0.0009122134,0.001333088,0.1522011],"category_scores_gemma":[0.006561148,0.0001981269,0.0002644889,0.001591434,0.0006394376,0.0005918065,0.001163143,0.001180686,0.02631139],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009773321,"about_ca_system_score_gemma":0.02376786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8038302,"about_ca_topic_score_gemma":0.8124308,"domain_scores_codex":[0.9987178,0.0001261965,0.00004971609,0.00009495446,0.0006691297,0.00034218],"domain_scores_gemma":[0.9950241,0.0003220221,0.0001929447,0.0001198732,0.003337544,0.001003484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001710222,0.00001062311,0.002484034,0.00004979749,0.000001904111,0.00002570045,0.00007110476,0.00001176411,0.00008362535,0.000320323,0.9836829,0.0132412],"study_design_scores_gemma":[0.00001650827,0.00001656179,0.04003102,0.0001851979,0.000004962026,0.00005316615,0.0008881194,0.00008344084,0.0001841995,0.0001676663,0.9583517,0.00001743934],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01539618,0.004744592,0.0008588446,0.2481603,0.02200612,0.0007639596,0.04522123,0.001187904,0.6616608],"genre_scores_gemma":[0.1338591,0.007956786,0.002511656,0.06974889,0.007211146,0.0005090294,0.02436485,0.000920873,0.7529176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9902267,"threshold_uncertainty_score":0.5091633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04879551762778856,"score_gpt":0.3100289026870914,"score_spread":0.2612333850593028,"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."}}