{"id":"W2322186830","doi":"10.1017/s0016672311000127","title":"Mating system and the critical migration rate for swamping selection","year":2011,"lang":"en","type":"article","venue":"Genetics Research","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Selfing; Biology; Mating system; Selection (genetic algorithm); Gene flow; Evolutionary biology; Mating; Nuclear gene; Pollen; Directional selection; Outcrossing; Adaptation (eye); Assortative mating; Genetics; Gene; Ecology; Population; Genetic variation; Genome","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00103049,0.00003513076,0.00005492876,0.000005887686,0.0006077028,0.0000599048,0.00006396216,0.00002654216,0.000008807217],"category_scores_gemma":[0.0001535552,0.00001060996,0.00001717192,0.00009145857,0.0001041375,0.00001871241,0.00004710184,0.00006301841,0.000006395222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007867607,"about_ca_system_score_gemma":0.000002418203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001917559,"about_ca_topic_score_gemma":0.001237781,"domain_scores_codex":[0.9994048,0.0001351926,0.000074075,0.0001024705,0.0001037198,0.0001796858],"domain_scores_gemma":[0.999163,0.0006594645,0.00001080839,0.000007827551,0.0001343923,0.00002451165],"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":[0.0006268856,0.00004948892,0.02941322,0.0001840835,0.00003799328,0.000002135919,0.002732198,0.000002083454,0.8483257,0.05032498,0.001732139,0.06656905],"study_design_scores_gemma":[0.0008648744,0.001409626,0.8301351,0.0001680122,0.00003884862,0.00003507936,0.01423404,0.05348825,0.06984126,0.01258427,0.01680818,0.0003924465],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974998,0.0004827532,0.0000559649,0.000763655,0.00001808591,0.0002099014,0.000006394574,0.00001536989,0.0009480515],"genre_scores_gemma":[0.999318,0.0001308236,0.0002688259,0.00001357988,0.000154339,0.00004313267,0.000001647386,3.437064e-7,0.00006931051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8007219,"threshold_uncertainty_score":0.467402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3499608905761006,"score_gpt":0.349811394919214,"score_spread":0.0001494956568865446,"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."}}