{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006988259,0.0002033802,0.0003066804,0.000837615,0.0002997924,0.0008677928,0.0002612459,0.0003232223,0.00744402],"category_scores_gemma":[0.002015615,0.0001240803,0.0004249026,0.0007721618,0.0003344986,0.0003641559,0.0004255171,0.0003650288,0.0009802912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731422,"about_ca_system_score_gemma":0.0001759686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006437316,"about_ca_topic_score_gemma":0.0007086293,"domain_scores_codex":[0.9991595,0.0001716581,0.00006207808,0.0003560942,0.0001393655,0.0001114296],"domain_scores_gemma":[0.998852,0.0003235909,0.0004250603,0.0001647807,0.0001571554,0.00007731848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001317203,0.00008316883,0.8036737,0.0006978759,0.0008084515,0.000819588,0.0007787734,0.0004922535,0.08349322,0.004834474,0.003172198,0.09982903],"study_design_scores_gemma":[0.00001527924,0.0001677415,0.9687234,0.00007629905,0.0001945357,0.002501945,0.0003096156,0.0004850989,0.01299667,0.003406274,0.01109892,0.00002428348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566944,0.01977988,0.003580207,0.0006364372,0.0001743951,0.00004079249,0.008094896,0.0000856203,0.01091351],"genre_scores_gemma":[0.9935187,0.002225567,0.0005341992,0.0001962838,0.00005353847,0.00002095769,0.001439259,0.00003647589,0.001975027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00744402,"threshold_uncertainty_score":0.02490276,"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."}}