{"id":"W2914767211","doi":"10.1101/528968","title":"Sex Differences in Oncogenic Mutational Processes","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Government of Ontario; Ontario Institute for Cancer Research; Genome Canada","keywords":"Colorectal cancer; Microsatellite instability; Cancer; Germline mutation; Germline; Exome; Genome; Head and neck cancer; Epidemiology; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000470021,0.0004761123,0.0008332712,0.0003954673,0.00006932098,0.00007703083,0.0003262277,0.0006325287,0.0001102062],"category_scores_gemma":[0.0004666249,0.0004638392,0.0001165501,0.0005871319,0.00008598209,0.00008116052,0.0002152359,0.001031748,0.0001294354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003405697,"about_ca_system_score_gemma":0.003755382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001247156,"about_ca_topic_score_gemma":0.0000112405,"domain_scores_codex":[0.9969945,0.0001155946,0.0006221221,0.001115483,0.00061131,0.0005409884],"domain_scores_gemma":[0.9977075,0.000190772,0.0002633764,0.0009518929,0.0006179116,0.0002685344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001263888,0.000408055,0.9686186,0.00889082,0.0002552789,0.000285602,0.0001453589,0.00004731918,0.0207773,0.0001641737,0.0002675776,0.00001357322],"study_design_scores_gemma":[0.001173284,0.0001513406,0.9540027,0.00147382,0.000113356,1.300203e-7,0.0000433782,0.0003257414,0.040528,0.00001091864,0.001489409,0.0006879277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923505,0.004182792,0.0001294983,0.0006858967,0.001027289,0.001213449,0.0001484536,0.0002235131,0.00003859396],"genre_scores_gemma":[0.9967229,0.0004236021,0.001267076,0.0005824723,0.0006039179,0.0002709274,0.000001645428,0.00009097641,0.0000364989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0197507,"threshold_uncertainty_score":0.9997813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0445898043418093,"score_gpt":0.2822615112419485,"score_spread":0.2376717069001392,"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."}}