{"id":"W2010494127","doi":"10.1002/ece3.485","title":"Contemporary effective population and metapopulation size (<i>N</i><sub>e</sub> and meta‐<i>N</i><sub>e</sub>): comparison among three salmonids inhabiting a fragmented system and differing in gene flow and its asymmetries","year":2013,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada","keywords":"Salvelinus; Metapopulation; Salmo; Gene flow; Biology; Fontinalis; Population; Ecology; Coalescent theory; Evolutionary biology; Effective population size; Trout; Genetic variation; Genetics; Phylogenetics; Gene; Fish <Actinopterygii>; Biological dispersal; Fishery; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007841655,0.0001737392,0.000260969,0.00121763,0.0002233761,0.0004362485,0.000364494,0.0003411178,0.0007705875],"category_scores_gemma":[0.001798067,0.0001514883,0.0005269641,0.0006391405,0.0004075931,0.0005665935,0.0003082608,0.0001936076,0.0001099445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004304178,"about_ca_system_score_gemma":0.0002079011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003176949,"about_ca_topic_score_gemma":0.006246671,"domain_scores_codex":[0.9998547,0.00003049131,0.0000141038,0.00005919401,0.0000245008,0.00001699411],"domain_scores_gemma":[0.9991575,0.0003547987,0.0001994656,0.0001079665,0.0001112099,0.00006891638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001670787,0.00003509335,0.954985,0.00007060033,0.0004439222,0.0001315452,0.0009322658,0.01512946,0.01124838,0.001652621,0.0001156006,0.01508856],"study_design_scores_gemma":[0.00001196787,0.00005572802,0.9700279,0.00001163267,0.0001196912,0.0001397324,0.0002358239,0.02730583,0.000941678,0.00085946,0.0002700503,0.00002056968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987407,0.00005712271,0.0009192037,0.00000557126,5.014368e-7,0.000001717891,0.00005946544,0.000006013832,0.0002096142],"genre_scores_gemma":[0.9988981,0.00002430542,0.0008426193,0.000002447609,0.000001369428,0.000005053262,0.0001734075,0.000003019703,0.00004966085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003176949,"threshold_uncertainty_score":0.00631696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008347085159490723,"score_gpt":0.20233044796969,"score_spread":0.1939833628101993,"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."}}