{"id":"W3204829509","doi":"10.1002/tafs.10337","title":"Population Genetics of Brook Trout in the Southern Appalachian Mountains","year":2021,"lang":"en","type":"article","venue":"Transactions of the American Fisheries Society","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Maryland Center for Environmental Science; Iowa Department of Natural Resources; University of Massachusetts Amherst; National Park Service; U.S. Forest Service; U.S. Geological Survey; U.S. Fish and Wildlife Service; Virginia Department of Game and Inland Fisheries; Wisconsin Department of Natural Resources; University of Pennsylvania; West Virginia University; Virginia Polytechnic Institute and State University; Massachusetts MassWildlife Division of Fisheries and Wildlife; New York State Department of Environmental Conservation","keywords":"Trout; Salvelinus; Population; Ecology; Genetic structure; Biology; Genetic diversity; Population genetics; Phylogeography; Range (aeronautics); Genetic variation; Geography; Fishery; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000438761,0.0001126628,0.0001386398,0.0006604654,0.0004677746,0.0003919711,0.0001154282,0.00008876337,0.0004536547],"category_scores_gemma":[0.0003530929,0.00006982141,0.00009523874,0.0006410671,0.0002977866,0.000129192,0.0002385731,0.0001112755,0.00004748752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007163286,"about_ca_system_score_gemma":0.0004825859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07810266,"about_ca_topic_score_gemma":0.2154273,"domain_scores_codex":[0.9998813,0.00002626893,0.000009662382,0.0000362678,0.00002950821,0.00001691275],"domain_scores_gemma":[0.9997337,0.00006134179,0.00007301147,0.00001181765,0.00007542715,0.00004455523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007472732,0.00001284495,0.9904259,0.00001033616,0.00004562469,0.0001004073,0.0007260611,0.0003161778,0.005098748,0.00006796814,0.0000570164,0.003064193],"study_design_scores_gemma":[0.000003795989,0.00001936751,0.9990096,0.000003695611,0.00000994304,0.00003211046,0.0003656239,0.0003149093,0.00009839828,0.00003057906,0.0001094433,0.000002420716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999819,0.00002370404,0.00002867204,0.000003718804,4.701396e-7,0.000001113117,0.00003280317,9.800578e-7,0.00008955602],"genre_scores_gemma":[0.9997157,0.00003258963,0.00006823309,0.000004214796,0.000001286517,0.000003366166,0.00009628677,5.570483e-7,0.00007766919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07810266,"threshold_uncertainty_score":0.1552961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008932605156863557,"score_gpt":0.2114542716431651,"score_spread":0.2025216664863015,"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."}}