{"id":"W2151998540","doi":"10.1111/j.1558-5646.2008.00446.x","title":"SPATIAL AND TEMPORAL DEMOGRAPHIC VARIATION DRIVES WITHIN-SEASON FLUCTUATIONS IN SEXUAL SELECTION","year":2008,"lang":"en","type":"article","venue":"Evolution","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Biology; Selection (genetic algorithm); Sexual selection; Demographics; Variation (astronomy); Spatial variability; Seasonal breeder; Ecology; Natural selection; Spatial ecology; Evolutionary biology; Statistics; Demography; Mathematics","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":[0.0005540887,0.00007506552,0.0001847486,0.0003209307,0.0002055477,0.0004127749,0.0001854355,0.0001583861,0.0009304535],"category_scores_gemma":[0.001290161,0.0001731995,0.0001543475,0.000205298,0.0003266085,0.0002619759,0.0003100398,0.0002197509,0.0001385633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109392,"about_ca_system_score_gemma":0.0001539864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002063857,"about_ca_topic_score_gemma":0.006077499,"domain_scores_codex":[0.9998063,0.00006770145,0.00001423168,0.00005905724,0.00002910781,0.00002362482],"domain_scores_gemma":[0.9991426,0.000264209,0.0003001711,0.00009487037,0.0001232325,0.00007482867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000143448,0.0001042033,0.8665445,0.00004663524,0.0001147986,0.0001118717,0.000622117,0.001520774,0.1115004,0.0006481578,0.0003956402,0.01824746],"study_design_scores_gemma":[0.000001913262,0.00003527164,0.9972198,0.000001820408,0.000008600403,0.00005733452,0.0001364678,0.00149198,0.0006621082,0.0001629046,0.0002166593,0.000005041645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986178,0.00005340063,0.0006819437,0.00002826509,0.000002269456,0.000004033316,0.00005325142,0.000007344377,0.0005516579],"genre_scores_gemma":[0.9994647,0.00003915661,0.0002740365,0.00002138715,0.000003360849,0.000005781388,0.00007181777,0.000003899457,0.0001159855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002063857,"threshold_uncertainty_score":0.00410372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703488355609725,"score_gpt":0.2174274341674548,"score_spread":0.2003925506113576,"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."}}