{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002996389,0.000258711,0.0004503448,0.0001376346,0.0003147408,0.00006217037,0.00003711977,0.000377599,0.000001207869],"category_scores_gemma":[0.0001226243,0.0002563211,0.00003718219,0.0001227758,0.0001377375,0.00007267019,0.0001651552,0.0001613856,7.136247e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003656329,"about_ca_system_score_gemma":0.00001215694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002121467,"about_ca_topic_score_gemma":0.0006536123,"domain_scores_codex":[0.9985917,0.0002315926,0.0003402273,0.0005018917,0.000100205,0.0002344348],"domain_scores_gemma":[0.9994072,0.00009865089,0.0002045627,0.0001036826,0.00007385002,0.0001120875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008698351,0.0000161202,0.78388,0.0001348071,0.0001949065,0.000001746937,0.0001393174,0.0001579106,0.2142663,0.00006781358,0.0000179353,0.001036168],"study_design_scores_gemma":[0.001127865,0.0002089173,0.9505012,0.00002374055,0.0002842538,0.00003656368,0.0002164852,0.010604,0.03648481,0.0002719433,0.000003417949,0.0002367743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929074,0.005416392,0.0005983711,0.00006629496,0.0001094816,0.0008368702,0.00002248155,0.00002410177,0.0000185994],"genre_scores_gemma":[0.9992636,0.0001707706,0.0002689056,0.00004019287,0.00005095095,0.00006766656,0.0001198654,0.00001489828,0.0000030995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1777815,"threshold_uncertainty_score":0.9999889,"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."}}