{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003589154,0.0003596835,0.0006502483,0.001848827,0.001120407,0.00111948,0.0007398496,0.0007985419,0.00256612],"category_scores_gemma":[0.012405,0.0004530637,0.0004073411,0.002416405,0.0006817796,0.0005712232,0.001820583,0.0005937076,0.0005282545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005257276,"about_ca_system_score_gemma":0.0007095747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008603533,"about_ca_topic_score_gemma":0.01758878,"domain_scores_codex":[0.9978554,0.0005834406,0.0002682139,0.0008226977,0.0003267588,0.0001434218],"domain_scores_gemma":[0.9902589,0.003831429,0.002179269,0.001917368,0.0009693377,0.0008437577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001696505,0.0002018597,0.9525819,0.000310969,0.0009916875,0.001544969,0.003123403,0.0006768506,0.01461645,0.001072735,0.005635594,0.017547],"study_design_scores_gemma":[0.0001751894,0.0001965309,0.9856822,0.00007828337,0.0003665937,0.00204119,0.0006299603,0.0007639126,0.00202312,0.0004715265,0.007528823,0.00004259255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921167,0.0003692419,0.001540702,0.0001528055,0.00001318689,0.00005909471,0.005327052,0.00002506015,0.0003960632],"genre_scores_gemma":[0.9714053,0.0004044782,0.007381499,0.0002692007,0.00003852774,0.000427425,0.01894055,0.00005980362,0.00107326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008603533,"threshold_uncertainty_score":0.01898146,"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."}}