{"id":"W2017120882","doi":"10.1007/s00411-014-0576-z","title":"Modeling age-dependent radiation-induced second cancer risks and estimation of mutation rate: an evolutionary approach","year":2014,"lang":"en","type":"article","venue":"Radiation and Environmental Biophysics","topic":"Effects of Radiation Exposure","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; University of Waterloo","funders":"","keywords":"Radiation therapy; Mutation rate; Medicine; Cancer; Mutation; Oncology; Internal medicine; Biology; Population; Genetics","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":[0.000192157,0.0001517992,0.0002073519,0.00009307093,0.0001124206,0.00002120034,0.00003190942,0.0001096203,0.00002521351],"category_scores_gemma":[0.00002517868,0.0001575542,0.00003310077,0.00007278896,0.00005734802,0.0003896488,0.0000153782,0.000111489,0.000003988711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001244563,"about_ca_system_score_gemma":0.00002251216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009323654,"about_ca_topic_score_gemma":0.000002258092,"domain_scores_codex":[0.9990232,0.00009974981,0.0002540334,0.0002823872,0.0002192777,0.0001213681],"domain_scores_gemma":[0.9995143,0.00004445833,0.000144237,0.0001570837,0.00001121593,0.0001287085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001996309,0.0005669246,0.02323915,0.0003033057,0.0001474876,0.000002975247,0.002320401,0.3241192,0.1932613,0.0007312584,0.00004077679,0.4550676],"study_design_scores_gemma":[0.001283064,0.0002181922,0.1791678,0.00001152836,0.00007859731,0.000008941146,0.0001588166,0.8114908,0.007251851,0.0001814922,0.0000163404,0.0001325313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879615,0.000347203,0.01097588,0.00008407587,0.00006892051,0.0003893755,0.00004522645,0.00003075843,0.00009707695],"genre_scores_gemma":[0.9966776,0.0002493511,0.001898619,0.0001494729,0.000135532,0.00003596506,0.0007991496,0.00002241407,0.00003194773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4873716,"threshold_uncertainty_score":0.6424872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533965742220354,"score_gpt":0.2574173140047292,"score_spread":0.2420776565825257,"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."}}