{"id":"W4234707760","doi":"10.1111/j.0014-3820.2003.tb00267.x","title":"THE INFLUENCE OF HISTORY AND CONTEMPORARY STREAM HYDROLOGY ON THE EVOLUTION OF GENETIC DIVERSITY WITHIN SPECIES: AN EXAMINATION OF MICROSATELLITE DNA VARIATION IN BULL TROUT, SALVELINUS CONFLUENTUS (PISCES: SALMONIDAE)","year":2003,"lang":"en","type":"article","venue":"Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage; Government of British Columbia; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada","keywords":"Biology; Trout; Ecology; Microsatellite; Genetic variation; Population; Genetic diversity; Salvelinus; Evolutionary biology; Genetic structure; Allele; Fishery; Genetics; 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":[0.000736291,0.0001088788,0.0001475841,0.0007154853,0.0004598573,0.0006088006,0.0002744217,0.0002406057,0.0008995206],"category_scores_gemma":[0.001210704,0.0001309917,0.0001924857,0.0006297859,0.0006917258,0.0002703077,0.0002512297,0.0002240029,0.00008312099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005063023,"about_ca_system_score_gemma":0.0003903496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02532037,"about_ca_topic_score_gemma":0.05777274,"domain_scores_codex":[0.999761,0.00008907411,0.00001348217,0.00006064047,0.00004619883,0.00002954391],"domain_scores_gemma":[0.9991603,0.0003018373,0.0002117121,0.00004810555,0.0001303418,0.0001478317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007387513,0.00002157416,0.9890518,0.0000073683,0.00009815194,0.00008288761,0.0004050303,0.0004398378,0.007345743,0.00005580414,0.00003588231,0.002382146],"study_design_scores_gemma":[7.955856e-7,0.00002106611,0.9994473,0.000001008534,0.000007502304,0.00002222121,0.0001088965,0.0002629486,0.00007804619,0.00001147369,0.00003731691,0.00000138501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997883,0.00002864717,0.00004415041,0.000007219353,3.434446e-7,6.612728e-7,0.00002987235,0.000001084677,0.00009964072],"genre_scores_gemma":[0.9998699,0.00001597721,0.00004228437,0.000003125235,8.554614e-7,6.744771e-7,0.00003110684,9.321205e-7,0.00003499388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02532037,"threshold_uncertainty_score":0.05034602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221967881476611,"score_gpt":0.195649179354089,"score_spread":0.1834295005393229,"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."}}