{"id":"W3109398899","doi":"10.1016/j.ejrad.2020.109451","title":"Incidental findings in whole-body MR imaging of a population-based cohort study: Frequency, management and psychosocial consequences","year":2020,"lang":"en","type":"article","venue":"European Journal of Radiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Deutsches Forschungszentrum für Gesundheit und Umwelt, Helmholtz Zentrum München; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Medicine; Psychosocial; Cohort; Depression (economics); Population; Prospective cohort study; Cohort study; Nuclear medicine; Radiology; Internal medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004166312,0.00007709443,0.000275908,0.0001175466,0.0000304156,0.000004795579,0.00009595448,0.00001175827,0.00001445593],"category_scores_gemma":[0.00004928308,0.00006770275,0.00004227947,0.0001349936,0.0001109594,0.00004587843,0.00002199539,0.0001739535,0.000001333616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000394586,"about_ca_system_score_gemma":0.0000204984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001516608,"about_ca_topic_score_gemma":0.000002002113,"domain_scores_codex":[0.9990625,0.000149031,0.0004572756,0.0001309187,0.0001073295,0.00009298921],"domain_scores_gemma":[0.9995274,0.0000349974,0.0002464217,0.00007277575,0.00004530473,0.0000731287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008606989,0.00007176185,0.9924451,0.00001439666,0.0000226923,0.0004918497,0.0002713818,0.00003548999,0.005105387,0.0003455669,0.0003700358,0.0007403327],"study_design_scores_gemma":[0.001546862,0.0005876896,0.9961048,0.00006848071,0.00006397281,0.0003122382,0.0004689557,0.00008640931,0.000108462,0.0003036656,0.0002880194,0.00006045277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867944,0.0001671225,0.008165578,0.003931569,0.0000326914,0.0003427555,0.000003639058,0.00001252259,0.0005497262],"genre_scores_gemma":[0.9855269,0.00003615187,0.01385694,0.0004770431,0.00007640913,0.000003225951,0.000005966153,0.00001140834,0.00000600549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005691358,"threshold_uncertainty_score":0.2760838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669626305330876,"score_gpt":0.3052212934803468,"score_spread":0.2885250304270381,"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."}}