{"id":"W2145248914","doi":"10.1371/journal.pbio.0040356","title":"Intralocus Sexual Conflict Diminishes the Benefits of Sexual Selection","year":2006,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":254,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Biology; Genetic Fitness; Sexual conflict; Selection (genetic algorithm); Sexual selection; Evolutionary biology; Genetics; Inheritance (genetic algorithm); Inclusive fitness; Experimental evolution; Genetic variation; Epistasis; Genetic load; Evolution of sexual reproduction; Reproductive success; Gene; Population; Demography","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":[0.000102235,0.00008470093,0.000120498,0.00000671668,0.0001330052,0.000009140957,0.0001189505,0.0001104171,0.0001323804],"category_scores_gemma":[0.00002060135,0.00002484055,0.00002227419,0.0001560226,0.000146384,0.00003432258,0.00002929388,0.00008879334,0.00001343912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000760922,"about_ca_system_score_gemma":0.000003578051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001343418,"about_ca_topic_score_gemma":0.0007358661,"domain_scores_codex":[0.9993013,0.00006471394,0.0001643857,0.0002390403,0.00006313445,0.0001674054],"domain_scores_gemma":[0.9997324,0.00007175835,0.00007645038,0.00003994453,0.00006142351,0.00001800263],"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":[0.00002236656,0.00009370944,0.08970079,0.000002123469,0.000006808451,1.10283e-7,0.00002671435,0.00000537601,0.8843963,0.0007880451,0.0002885862,0.02466905],"study_design_scores_gemma":[0.00006468124,0.001250472,0.8925743,0.000001981149,0.00003567134,0.00001596329,0.0002372622,0.00001637181,0.1006663,0.0001510446,0.004875869,0.0001101052],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983933,0.0002115542,0.000001165105,0.0007993496,0.00009871798,0.0001196057,0.00002357651,0.00004572123,0.0003069849],"genre_scores_gemma":[0.9988877,0.00001116138,0.00001353062,0.00003473356,0.0006473481,0.00001064315,0.00005959764,6.258413e-7,0.000334728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8028734,"threshold_uncertainty_score":0.2030855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04031641505609646,"score_gpt":0.2366647136628644,"score_spread":0.1963482986067679,"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."}}