{"id":"W2929917485","doi":"10.1098/rspb.2018.2838","title":"Winners have higher pre-copulatory mating success but losers have better post-copulatory outcomes","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reproductive success; Biology; Context (archaeology); Sexual selection; Mating; Mate choice; Fecundity; Demography; Zoology; Population","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":[0.0002692978,0.0003490121,0.0003384755,0.0005329924,0.0003040881,0.0004990575,0.0002032746,0.0002017082,0.003809258],"category_scores_gemma":[0.0003414711,0.0001284709,0.0002720498,0.0002385933,0.0002034485,0.0002079541,0.0003676598,0.0003713621,0.0006016231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001107349,"about_ca_system_score_gemma":0.00008200819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007044677,"about_ca_topic_score_gemma":0.001800046,"domain_scores_codex":[0.9997987,0.0000206837,0.00001907985,0.00006179903,0.00006951141,0.0000302305],"domain_scores_gemma":[0.9993467,0.00006945693,0.0003050122,0.00006155363,0.00008248357,0.0001349024],"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":[0.0002824233,0.0002625705,0.3683364,0.0001663016,0.0003481929,0.0003318063,0.0003076358,0.0002185965,0.6057807,0.0002314716,0.000406134,0.02332778],"study_design_scores_gemma":[0.000002534987,0.0001673215,0.9885803,0.000003853296,0.00004614037,0.0003400303,0.00007013439,0.0001705151,0.009970789,0.00006212958,0.0005769222,0.000009387771],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998185,0.0002999192,0.0005168804,0.00001693105,0.000006038264,0.000006437397,0.0003325972,0.00002017542,0.0006159696],"genre_scores_gemma":[0.9973612,0.0001248288,0.0007165251,0.00003442606,0.000006956825,0.00001011483,0.0004531722,0.00001983329,0.001272866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003809258,"threshold_uncertainty_score":0.01274318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03340209561777534,"score_gpt":0.2275464772189996,"score_spread":0.1941443816012243,"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."}}