{"id":"W2972051738","doi":"10.1534/genetics.119.300244","title":"Males, Outcrossing, and Sexual Selection in <i>Caenorhabditis</i> Nematodes","year":2019,"lang":"en","type":"review","venue":"Genetics","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Institute on Aging","keywords":"Biology; Outcrossing; Genetics; Caenorhabditis elegans; Selection (genetic algorithm); Sexual selection; Caenorhabditis; Evolutionary biology; Gene; Ecology","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":[0.0001715307,0.000135449,0.0001646092,0.0004232335,0.0002097615,0.0002887421,0.0002080885,0.0001903679,0.0003479422],"category_scores_gemma":[0.0001199271,0.00007002585,0.0001375574,0.0002211078,0.0002039856,0.0002090889,0.0001927945,0.000250155,0.00007167118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003011005,"about_ca_system_score_gemma":0.0002212912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001972492,"about_ca_topic_score_gemma":0.005272806,"domain_scores_codex":[0.9999369,0.000008761497,0.000006850899,0.00001711607,0.00001979766,0.00001056349],"domain_scores_gemma":[0.9999024,0.00002472568,0.0000429891,0.000002125959,0.00001106695,0.00001666351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003481089,0.00008390769,0.04751857,0.004499023,0.0002633522,0.002794043,0.0007288542,0.003227082,0.6571273,0.01150856,0.003572919,0.2683282],"study_design_scores_gemma":[0.00002002029,0.0007190485,0.7621808,0.001014952,0.0004557119,0.004658388,0.0007448348,0.002345872,0.06882898,0.005957789,0.1529157,0.0001578938],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6605569,0.3235546,0.00369128,0.0006436337,0.0001559241,0.0000251927,0.0004342193,0.00006388112,0.01087437],"genre_scores_gemma":[0.8594757,0.1332455,0.001943476,0.0003292837,0.0001303973,0.00001675804,0.0003583367,0.0000139495,0.00448662],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001972492,"threshold_uncertainty_score":0.003922045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03549105595768392,"score_gpt":0.3098250410435448,"score_spread":0.2743339850858609,"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."}}