{"id":"W4210615343","doi":"10.1007/s10552-022-01556-z","title":"Quantifying cancer risk from exposures to medical imaging in the Risk of Pediatric and Adolescent Cancer Associated with Medical Imaging (RIC) Study: research methods and cohort profile","year":2022,"lang":"en","type":"article","venue":"Cancer Causes & Control","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Cancer Institute","keywords":"Medicine; Cancer; Epidemiology; Cohort study; Public health; Risk assessment; Cohort; Medical imaging; Oncology; Internal medicine; Pathology; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004147774,0.0004913913,0.0003923714,0.001155266,0.0005665719,0.001137478,0.0008037228,0.0005620267,0.00121004],"category_scores_gemma":[0.009248271,0.0005137226,0.001429312,0.002061065,0.0003925596,0.0005741477,0.001145274,0.0009306867,0.0001911552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007853425,"about_ca_system_score_gemma":0.00134502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373171,"about_ca_topic_score_gemma":0.01871559,"domain_scores_codex":[0.9975169,0.001278169,0.0002025567,0.0005208566,0.0002823179,0.0001993615],"domain_scores_gemma":[0.9947871,0.001094919,0.001613552,0.001626628,0.0005393546,0.0003384489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002109193,0.00003300372,0.9973649,0.00001403174,0.0003058705,0.00001381693,0.0001084429,0.00005242757,0.0001417379,0.00009408629,0.00009698777,0.001563734],"study_design_scores_gemma":[0.00003365879,0.0002605178,0.9968502,0.00002691725,0.0005195315,0.0002080507,0.0002980083,0.0002996218,0.0004377671,0.00007906863,0.0009790836,0.00000761642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9935558,0.0006795589,0.001983312,0.00009009972,0.00001178794,0.0001484595,0.002643071,0.00001206014,0.0008756436],"genre_scores_gemma":[0.9953979,0.0004857224,0.001563932,0.0000673724,0.00002145247,0.0001514069,0.00180391,0.00001759688,0.0004907766],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02373171,"threshold_uncertainty_score":0.04718715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05467407552514988,"score_gpt":0.4410428921434438,"score_spread":0.3863688166182939,"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."}}