{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004829037,0.0001009128,0.0001330987,0.00006916586,0.0001008132,0.000003699396,0.0001370712,0.0001466878,0.000006154845],"category_scores_gemma":[0.0001440712,0.00008090714,0.00003708875,0.00009015235,0.0002983138,0.00001264743,0.00005480433,0.00007287956,4.431077e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001195243,"about_ca_system_score_gemma":0.0001115014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000577674,"about_ca_topic_score_gemma":0.0001799101,"domain_scores_codex":[0.9988425,0.0003776074,0.0003170784,0.0002017424,0.0001626419,0.0000983885],"domain_scores_gemma":[0.9991342,0.00004824895,0.0003871193,0.0002459084,0.0001590938,0.00002545459],"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":[0.0003113236,0.0001056679,0.2650324,0.0000429679,0.0000454532,5.060484e-7,0.002417947,0.008829224,0.7145788,0.008430424,0.00003807598,0.0001671689],"study_design_scores_gemma":[0.0004760104,0.0003438626,0.9845598,0.00001649893,0.00002026229,0.000002241559,0.0006552179,0.0002077663,0.01267801,0.0006759068,0.0002896779,0.00007474828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975593,0.001276984,0.0005085359,0.00001770465,0.00009024524,0.0002305262,0.00002518176,0.000002864907,0.0002886329],"genre_scores_gemma":[0.9996707,0.0000724212,0.0001286404,0.00001941735,0.00001372073,0.000002219522,0.00002192064,0.000004382466,0.00006652263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7195274,"threshold_uncertainty_score":0.3299297,"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."}}