{"id":"W3103807304","doi":"10.1101/2020.03.26.009670","title":"Evaluating Human Autosomal Loci for Sexually Antagonistic Viability Selection in Two Large Biobanks","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; University of Oregon; National Institutes of Health; Vanderbilt University","keywords":"Biology; Genotyping; Locus (genetics); Biobank; Genetics; Allele; Evolutionary biology; Selection (genetic algorithm); Population; Sexual selection; Genotype; Gene; Demography","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":[0.003985229,0.0003181512,0.0005756351,0.001474697,0.00106445,0.00118844,0.0007618698,0.000834012,0.002739716],"category_scores_gemma":[0.01040933,0.0004130585,0.0003757822,0.002134945,0.0006026645,0.000519365,0.001563953,0.0006656934,0.0005899202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004294845,"about_ca_system_score_gemma":0.0005969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006842764,"about_ca_topic_score_gemma":0.01134794,"domain_scores_codex":[0.9977852,0.0006753466,0.0002413952,0.0008125193,0.0003402153,0.0001453219],"domain_scores_gemma":[0.9912859,0.003338651,0.002092599,0.001690585,0.0009301195,0.0006621791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001464994,0.0001978816,0.9581998,0.0003109082,0.0009174558,0.001170137,0.0022197,0.0005398905,0.01180549,0.0009354331,0.007064752,0.01517364],"study_design_scores_gemma":[0.0001793619,0.0002255142,0.9826332,0.0001074745,0.0004066406,0.002242372,0.0007792826,0.0009782809,0.002343645,0.0005203187,0.009541111,0.00004275646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912933,0.0003997804,0.001690591,0.0001672982,0.00001581506,0.0000573926,0.005935978,0.00002783608,0.0004120491],"genre_scores_gemma":[0.9722795,0.0003764228,0.006580083,0.000319433,0.0000481936,0.0004168139,0.01880579,0.00006267398,0.001110975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006842764,"threshold_uncertainty_score":0.02107614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03381249845730095,"score_gpt":0.3304779211102784,"score_spread":0.2966654226529775,"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."}}