{"id":"W2341455386","doi":"10.1111/jeb.12883","title":"Demographic drivers of age‐dependent sexual selection","year":2016,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Conservation Association","keywords":"Biology; Sexual selection; Selection (genetic algorithm); Demography; Mating; Population; Ovis canadensis; Mating system; Operational sex ratio; Ovis; Mate choice; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002495539,0.00005551341,0.0001166279,0.00008288126,0.00005557631,8.302824e-7,0.0001210203,0.0001081443,0.0009511181],"category_scores_gemma":[0.00007829784,0.00003678488,0.00004969021,0.0001316397,0.0002843884,0.0001646912,0.0000375276,0.00008239827,0.00003947696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031488,"about_ca_system_score_gemma":0.00003038527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002602012,"about_ca_topic_score_gemma":0.00005482505,"domain_scores_codex":[0.9993013,0.0001263469,0.000272433,0.00009117932,0.00009275752,0.0001160354],"domain_scores_gemma":[0.9994728,0.0001069776,0.0002958727,0.00005273477,0.00003184376,0.00003975574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006500704,0.00005383549,0.9321755,8.910991e-7,0.00002725149,0.000004325991,0.00001941451,0.00007344516,0.06079377,0.000331733,0.004448554,0.002006304],"study_design_scores_gemma":[0.0003733212,0.0005508348,0.9920315,0.000005309103,0.00001583795,0.0001406078,0.00002447933,0.0000252062,0.0002413469,0.004227599,0.002316803,0.00004714125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954794,0.00004491421,0.002594109,0.001247718,0.0002765878,0.00003620584,0.000003028389,0.000004791868,0.0003132607],"genre_scores_gemma":[0.9985933,0.00003899327,0.000891516,0.0001154425,0.00007317139,0.000001045258,0.000001058835,0.000002483146,0.0002829763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06055243,"threshold_uncertainty_score":0.9999622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009149020202869023,"score_gpt":0.2189731872887249,"score_spread":0.2098241670858559,"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."}}