{"id":"W2146182675","doi":"10.1098/rsbl.2009.0475","title":"Sexual selection against deleterious mutations via variable male search success","year":2009,"lang":"en","type":"article","venue":"Biology Letters","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Ontario Genomics; University of Ottawa","funders":"","keywords":"Biology; Sexual selection; Mating; Selection (genetic algorithm); Population; Drosophila melanogaster; Genetics; Evolutionary biology; Mate choice; Demography; Gene; Machine learning","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":[0.0001590997,0.00009877485,0.000100676,0.00001671474,0.0002760028,0.00002582534,0.0001143725,0.0001043876,0.0002623521],"category_scores_gemma":[0.00001007623,0.00004199686,0.00003275128,0.0002623583,0.00007254654,0.00008925518,0.00001542188,0.0001256309,0.00006950903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002854801,"about_ca_system_score_gemma":0.000005266126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002784828,"about_ca_topic_score_gemma":0.00003453109,"domain_scores_codex":[0.9991204,0.0001016792,0.0001294402,0.0003223679,0.00006186956,0.0002643022],"domain_scores_gemma":[0.9998072,0.00003000304,0.00003571821,0.00003743809,0.00004043746,0.000049239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001481116,0.00004007625,0.02976479,7.631398e-7,0.000004187498,0.00000222463,0.00001938448,0.00002920445,0.9060695,0.0000320542,0.0005830399,0.06343992],"study_design_scores_gemma":[0.0002193034,0.001178107,0.9558899,0.000004932653,0.00002959086,0.000172661,0.0001353269,0.0003096411,0.0324664,0.0001191147,0.009038948,0.0004360244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942215,0.00002224317,0.0004729926,0.004629618,0.0001570061,0.0001285423,0.000009855493,0.0000925127,0.0002657489],"genre_scores_gemma":[0.9971814,0.000002963595,0.000266616,0.00161685,0.0004235037,0.000007966489,0.0001761644,6.690146e-7,0.0003239162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9261252,"threshold_uncertainty_score":0.2872572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961398844439675,"score_gpt":0.2508413010142748,"score_spread":0.2312273125698781,"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."}}