{"id":"W2602459995","doi":"10.1111/evo.13240","title":"Direct benefits of choosing a high-fitness mate can offset the indirect costs associated with intralocus sexual conflict","year":2017,"lang":"en","type":"article","venue":"Evolution","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Biology; Sexual conflict; Genetic Fitness; Offspring; Reproductive success; Selection (genetic algorithm); Mate choice; Sexual selection; Evolutionary biology; Demography; Genetics; Biological evolution; Population; Computer science; Mating","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003987038,0.0003184006,0.0002616454,0.0003494514,0.0002550979,0.0005348906,0.0002537037,0.0003700598,0.003972551],"category_scores_gemma":[0.0009713767,0.0001402603,0.0002238213,0.0001691548,0.0002935706,0.0004087622,0.0007346775,0.0004473425,0.0002785489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001964631,"about_ca_system_score_gemma":0.0001130498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00018184,"about_ca_topic_score_gemma":0.001112044,"domain_scores_codex":[0.9997116,0.0001001248,0.00001961824,0.00005993187,0.00007079739,0.00003792226],"domain_scores_gemma":[0.9991944,0.0003161943,0.0001742386,0.0001151142,0.00006479732,0.0001352013],"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":[0.00039702,0.0002118695,0.1382607,0.0002566262,0.0002483545,0.0007030094,0.0001520752,0.0009981422,0.8140736,0.002170189,0.0002434313,0.04228504],"study_design_scores_gemma":[0.00002442158,0.0008097039,0.9122254,0.00002995369,0.0001504809,0.002002029,0.0003063491,0.002322711,0.0784454,0.001479112,0.002181795,0.00002256708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99713,0.0003051752,0.0006268912,0.00005454875,0.000005705351,0.000003291506,0.00004263112,0.00000567256,0.001826071],"genre_scores_gemma":[0.998028,0.0001192904,0.0009890102,0.00005619419,0.00000897576,0.000005133447,0.00005928907,0.000005866014,0.0007283909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003972551,"threshold_uncertainty_score":0.01328951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782319562330266,"score_gpt":0.2298676874838148,"score_spread":0.2020444918605121,"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."}}