{"id":"W3024978610","doi":"10.1177/0846537120923020","title":"Establishing Diagnostic Reference Levels for CT Through a Provincial Medical Informatics Metadata Repository in Ontario","year":2020,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Medicine; Percentile; Pelvis; Protocol (science); Abdomen; Medical physics; Computed tomography; Reference dose; Nuclear medicine; Radiation exposure; Radiation dose; Radiology; Statistics; Risk assessment","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":[0.01209575,0.0002460263,0.0005020399,0.006921508,0.002281448,0.002744027,0.002166913,0.0004337384,0.002143243],"category_scores_gemma":[0.06211537,0.0005347125,0.000430338,0.01343154,0.001160131,0.001668599,0.002311324,0.0004283224,0.000467728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0568956,"about_ca_system_score_gemma":0.1171496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9410748,"about_ca_topic_score_gemma":0.9443349,"domain_scores_codex":[0.9902216,0.001203635,0.001490934,0.0009796054,0.005315074,0.0007892678],"domain_scores_gemma":[0.886773,0.01456922,0.02234956,0.007340403,0.06513158,0.003836372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000368782,0.00007670165,0.8810082,0.00084229,0.00007474095,0.0001970413,0.004176897,0.00120961,0.001628017,0.001572393,0.01224815,0.09659722],"study_design_scores_gemma":[0.00006418996,0.0001059406,0.9598873,0.0004780891,0.00008848851,0.0002041282,0.002164993,0.003364464,0.002366723,0.0003365993,0.0308717,0.00006736488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8683321,0.004398675,0.02343755,0.005837435,0.0001255673,0.002398739,0.05880197,0.001521168,0.03514679],"genre_scores_gemma":[0.959445,0.001061036,0.02043009,0.0005106988,0.00004214536,0.0006917496,0.0149098,0.0001354816,0.002774019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05892521,"threshold_uncertainty_score":0.4128084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05139763431254767,"score_gpt":0.2812590364565387,"score_spread":0.229861402143991,"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."}}