{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003504338,0.0005800085,0.001201206,0.000709686,0.003696665,0.002867208,0.001508413,0.04209631,0.005821786],"category_scores_gemma":[0.03406292,0.0005125272,0.0009642348,0.0008573519,0.004546975,0.005767086,0.001637278,0.03776377,0.004976687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005978533,"about_ca_system_score_gemma":0.004959593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009971408,"about_ca_topic_score_gemma":0.01788611,"domain_scores_codex":[0.9965512,0.00112976,0.0004675509,0.0003233796,0.001197851,0.0003302899],"domain_scores_gemma":[0.9865279,0.007713785,0.0009652168,0.0004847198,0.002630157,0.001678303],"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":[0.00006374818,0.0000551502,0.002029396,0.0001503165,0.00002204879,0.006053969,0.000500037,0.00005670914,0.0003021764,0.005718633,0.9484152,0.03663255],"study_design_scores_gemma":[0.0001290703,0.0001779521,0.003537815,0.001739767,0.00004841946,0.0311726,0.002443412,0.0003054151,0.0003336695,0.02539343,0.9346047,0.0001137504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004112037,0.002191128,0.00005247154,0.9912753,0.004207828,0.000003046757,0.00001351123,0.00001008498,0.001835467],"genre_scores_gemma":[0.007208798,0.004341221,0.0001829009,0.957919,0.02787107,0.000008557793,0.00002039622,0.00001097178,0.002436987],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04209631,"threshold_uncertainty_score":0.04337752,"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."}}