{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002934405,0.0001043409,0.000155126,0.000008728442,0.0007101542,0.00006372945,0.0001968205,0.00008184951,0.00002473663],"category_scores_gemma":[0.00009992618,0.0000331847,0.00002983789,0.0001209284,0.0001660669,0.0001295402,0.00004156839,0.00009840794,0.000003339383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009348749,"about_ca_system_score_gemma":0.00001079729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007083808,"about_ca_topic_score_gemma":0.006124405,"domain_scores_codex":[0.9991677,0.00007531571,0.0001340743,0.0002328943,0.000203499,0.0001865059],"domain_scores_gemma":[0.9994336,0.00003965765,0.0002611208,0.0001121269,0.0001162559,0.0000372155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001863477,0.000199858,0.5299568,0.000007392188,0.00006515516,0.00000259288,0.000313673,0.0000638467,0.3863178,0.0004744415,0.00044948,0.08196257],"study_design_scores_gemma":[0.0001270853,0.0002438388,0.9849576,0.0000440656,0.00003806376,0.000004663586,0.0001282617,0.00001918772,0.01421808,0.00001333943,0.0001058301,0.00009993315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983669,0.0001105502,0.000001035018,0.000723319,0.0001820382,0.0001917938,0.00009343749,0.0000493794,0.000281534],"genre_scores_gemma":[0.9994633,0.00001122409,0.000003666268,0.00000969455,0.0001786279,0.00001044154,0.00007137337,0.000001239759,0.000250465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4550008,"threshold_uncertainty_score":0.9995281,"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."}}