{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008583533,0.0003944752,0.0004622391,0.0005621738,0.0001847786,0.0005441295,0.0004409867,0.0003103083,0.0009945731],"category_scores_gemma":[0.001366311,0.0002350702,0.0002316294,0.0001985413,0.0004358081,0.0002628173,0.000615556,0.00048253,0.0001347813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415552,"about_ca_system_score_gemma":0.0001524079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002221699,"about_ca_topic_score_gemma":0.0008642483,"domain_scores_codex":[0.9995006,0.0001778928,0.00004053225,0.0001003202,0.0001373344,0.00004329061],"domain_scores_gemma":[0.9983955,0.0006964408,0.0003906714,0.0002022299,0.0001149349,0.0002002451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004047629,0.0001237493,0.03973598,0.00008247871,0.0001377295,0.000205353,0.0001168097,0.00118566,0.9463512,0.0004058074,0.00005692037,0.01119348],"study_design_scores_gemma":[0.0001551537,0.003148208,0.742678,0.00004487183,0.0003538622,0.002426069,0.0002286673,0.01727559,0.2308496,0.001387228,0.00133523,0.0001174072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990371,0.000140161,0.0004284788,0.00001423399,0.000001026513,0.000004202417,0.00001980151,0.0000113043,0.0003436033],"genre_scores_gemma":[0.9991894,0.00006286903,0.0004308728,0.00002533379,0.000002664995,0.000009348907,0.00004050676,0.000009676345,0.0002293923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009945731,"threshold_uncertainty_score":0.00453943,"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."}}