{"id":"W1968901830","doi":"10.1503/cmaj.101885","title":"Radiation exposure from medical imaging: A silent harm?","year":2011,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences","funders":"","keywords":"Ionizing radiation; Harm; EXPOSE; Medical imaging; Radiation exposure; Medical physics; Medicine; Medical radiation; Medical practice; Background radiation; Data science; Computer science; Radiation; Family medicine; Nuclear medicine; Radiology; Psychology; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.00198041,0.0004558854,0.000840145,0.0007548834,0.0003344454,0.0002365222,0.0005920826,0.002749828,0.06781899],"category_scores_gemma":[0.005564095,0.0004291775,0.000456671,0.0003223325,0.00008757588,0.0003043685,0.00003476112,0.009456947,0.001457056],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003195145,"about_ca_system_score_gemma":0.01521983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033611,"about_ca_topic_score_gemma":0.002020928,"domain_scores_codex":[0.991021,0.0004782937,0.001258043,0.0005238612,0.005598196,0.001120562],"domain_scores_gemma":[0.9940017,0.0003984925,0.0008427932,0.0003635682,0.0005891089,0.003804279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007590984,0.00002487682,0.03482653,0.00001746814,0.0003675564,0.009106134,0.0003371786,1.033061e-7,0.000001219159,0.000004610695,0.8533732,0.1019335],"study_design_scores_gemma":[0.002071988,0.00004335884,0.01840746,0.0004660294,0.0002763553,0.001579425,0.0001060739,0.0005120391,0.00001169976,0.0001310576,0.976003,0.0003915156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001905152,0.002908608,0.0001609391,0.9813035,0.004598758,0.0002805526,0.0001495022,0.00007714525,0.008615866],"genre_scores_gemma":[0.008096545,0.001286489,0.00007685996,0.9343696,0.05190022,0.00002110737,0.001018326,0.0001087009,0.003122187],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1226298,"threshold_uncertainty_score":0.999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009686878272682223,"score_gpt":0.2381121805164923,"score_spread":0.2284253022438101,"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."}}