{"id":"W3127125943","doi":"10.1093/genetics/iyaa015","title":"Evaluating human autosomal loci for sexually antagonistic viability selection in two large biobanks","year":2020,"lang":"en","type":"article","venue":"Genetics","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Center for Advancing Translational Sciences; American Heart Association; Medical Research Council; National Institute of General Medical Sciences; National Institutes of Health; Georgia Clinical and Translational Science Alliance","keywords":"Biobank; Biology; Genetics; Selection (genetic algorithm)","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":[0.0002563928,0.0001408585,0.0001328395,0.00002183767,0.0001327826,0.00001715127,0.0001719475,0.0001396646,0.0000148154],"category_scores_gemma":[0.00008765721,0.0001538433,0.00006604171,0.0001108197,0.00005136598,0.000001210901,0.00009854552,0.0001016242,0.000003211278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001886614,"about_ca_system_score_gemma":0.00007213534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008288011,"about_ca_topic_score_gemma":0.0001364355,"domain_scores_codex":[0.9988502,0.00007120565,0.0002623698,0.0004634588,0.00007503808,0.0002777021],"domain_scores_gemma":[0.9995658,0.000008644394,0.00007676955,0.0001923572,0.00008325169,0.00007318318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002503231,0.00006890384,0.008482936,0.00002393068,0.00001304705,3.469041e-7,0.00002836542,0.0002214027,0.9874957,0.0004783724,0.0004130605,0.00274895],"study_design_scores_gemma":[0.002126085,0.002185476,0.01212984,0.00000749693,0.00005946956,0.00001038732,0.00004421146,0.03956706,0.904353,0.001674142,0.03727736,0.0005655203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8663062,0.0001290205,0.1323702,0.0003192446,0.0000168837,0.0006394549,0.00007078665,0.00003651548,0.0001117705],"genre_scores_gemma":[0.9696058,0.000009904168,0.02876989,0.0007411011,0.0002107721,0.0001762788,0.0004294396,0.00002352107,0.00003327741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1036003,"threshold_uncertainty_score":0.6273549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0421742409610369,"score_gpt":0.3966484318615779,"score_spread":0.3544741909005411,"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."}}