{"id":"W4312080597","doi":"10.1111/eva.13520","title":"Genetic diversity and structure of a recent fish invasion: Tench (<i>Tinca tinca</i>) in eastern North America","year":2022,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; McGill University; The Scarborough Hospital; Université du Québec à Chicoutimi; Fisheries and Oceans Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Genetic diversity; Effective population size; Population; Population bottleneck; Ecology; Founder effect; Population size; Inbreeding; Range (aeronautics); Small population size; Evolutionary biology; Habitat; Demography; Genetics; Microsatellite; Genotype; Allele","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":[0.0003437518,0.0001417425,0.000158198,0.0009433703,0.000646555,0.0004000707,0.0002675708,0.0002108326,0.001051669],"category_scores_gemma":[0.0004174162,0.00009371676,0.0001470267,0.0007512169,0.0006034583,0.0002054942,0.0003414045,0.0002655818,0.00005517987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008109643,"about_ca_system_score_gemma":0.0004585532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09368091,"about_ca_topic_score_gemma":0.2059506,"domain_scores_codex":[0.9998589,0.00001771729,0.000008013188,0.0000731605,0.00001927174,0.00002300758],"domain_scores_gemma":[0.999599,0.00004840539,0.00013945,0.00002004129,0.0001005991,0.00009254181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001048625,0.0000460634,0.9867194,0.00001975325,0.0000677685,0.000188331,0.001219367,0.0002324437,0.007543948,0.00008983495,0.0001373769,0.003630826],"study_design_scores_gemma":[0.000002005718,0.00001291147,0.9991749,0.000003265067,0.000007164986,0.00003539517,0.0004006848,0.0002022313,0.00004192007,0.00001478345,0.0001021622,0.000002502201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997432,0.00001104817,0.00003302438,0.000008234346,9.992978e-7,0.000002644031,0.00004262922,0.000001168954,0.0001570281],"genre_scores_gemma":[0.9996748,0.00001344647,0.00009188572,0.00001100467,0.000001361071,0.000004668189,0.0001001478,9.393303e-7,0.0001019029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09368091,"threshold_uncertainty_score":0.1862713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189333596881203,"score_gpt":0.2106046689314958,"score_spread":0.1987113329626838,"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."}}