{"id":"W2040747729","doi":"10.1007/s00285-003-0240-8","title":"Sex ratio evolution through group selection using diffusion approximation","year":2004,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire de Sherbrooke","funders":"","keywords":"Sex ratio; Hermaphrodite; Population; Biology; Biological dispersal; Selection (genetic algorithm); Mathematics; Statistics; Allele; Group (periodic table); Genetics; Demography; Physics; Ecology; Computer science; Gene","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":[0.001141085,0.000443623,0.001443596,0.001063346,0.0006185683,0.001145886,0.001579394,0.001399071,0.002708574],"category_scores_gemma":[0.005375283,0.00047469,0.001158528,0.0006148496,0.001333037,0.002176821,0.001065173,0.001163337,0.0003009042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250167,"about_ca_system_score_gemma":0.000489703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003775315,"about_ca_topic_score_gemma":0.001852158,"domain_scores_codex":[0.9997156,0.0001296418,0.000007941529,0.00005084617,0.00005322777,0.00004256792],"domain_scores_gemma":[0.9977165,0.001653568,0.0001773026,0.0001540905,0.0001500094,0.0001485009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001424032,0.00009963235,0.003584904,0.00009036512,0.000170486,0.0003853637,0.0003262369,0.570617,0.008598435,0.4017505,0.001517988,0.01271675],"study_design_scores_gemma":[0.00002525246,0.000009934257,0.0003396134,0.00000293485,0.00001497688,0.00004850006,0.00001157925,0.9698429,0.0001431032,0.02939226,0.0001571532,0.00001182972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4749829,0.0005785091,0.510902,0.001318754,0.00016305,0.0000702917,0.00008363331,0.0002709401,0.01162997],"genre_scores_gemma":[0.9635565,0.0003146294,0.02788659,0.0001560325,0.00008116302,0.00005987092,0.00003856701,0.00008253831,0.007824082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003775315,"threshold_uncertainty_score":0.009070635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042027357494254,"score_gpt":0.3234353549713403,"score_spread":0.2930150813963978,"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."}}