{"id":"W2075405737","doi":"10.1007/s00285-008-0248-1","title":"Diffusion approximations for one-locus multi-allele kin selection, mutation and random drift in group-structured populations: a unifying approach to selection models in population genetics","year":2009,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Population; Genetic drift; Coalescent theory; Inbreeding; Mathematics; Selection (genetic algorithm); Biology; Genetics; Genetic variation; Demography; 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":[0.004375431,0.001236963,0.002117107,0.001946432,0.0009656028,0.002087522,0.004279052,0.003951654,0.002641831],"category_scores_gemma":[0.01613505,0.0009096286,0.002171813,0.001386259,0.002812756,0.005328173,0.002595411,0.003153329,0.0006059262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003065392,"about_ca_system_score_gemma":0.001528946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00974056,"about_ca_topic_score_gemma":0.006240783,"domain_scores_codex":[0.9992499,0.000364529,0.00004334216,0.0000913362,0.000155673,0.00009519533],"domain_scores_gemma":[0.9942482,0.003751353,0.000514151,0.0003521345,0.0006641595,0.0004699987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003376722,0.00004047266,0.0007457092,0.0000873391,0.00005771375,0.0001588543,0.0002343601,0.2368497,0.000837754,0.7545218,0.002152455,0.004280068],"study_design_scores_gemma":[0.00001543466,0.000005579926,0.0001149786,0.000007830135,0.00001215284,0.00002783332,0.00002346765,0.8739687,0.0000471142,0.1253299,0.0004315237,0.0000156126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0542664,0.002541269,0.931958,0.003074517,0.0004363814,0.00006586046,0.0001194831,0.0002075126,0.007330573],"genre_scores_gemma":[0.781159,0.004283301,0.1625796,0.001311058,0.001111562,0.0004018958,0.0003630091,0.0004927362,0.04829776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00974056,"threshold_uncertainty_score":0.02313977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02851678687954942,"score_gpt":0.3008822789260597,"score_spread":0.2723654920465103,"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."}}