{"id":"W2952701410","doi":"10.1002/ece3.5237","title":"Genetic diversity, admixture, and hatchery influence in Brook Trout (<i>Salvelinus fontinalis</i>) throughout western New York State","year":2019,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Environmental Biology; U.S. Fish and Wildlife Service; University of Cambridge; U.S. Environmental Protection Agency","keywords":"Hatchery; Trout; Salvelinus; Biology; Genetic diversity; Introgression; Population; Ecology; Effective population size; Habitat destruction; Fishery; Genetic monitoring; Habitat; Microsatellite; Demography; Allele","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":[0.0004342025,0.0001119488,0.0001367805,0.0005731942,0.0004161058,0.000363382,0.0001769419,0.0001176744,0.0007931432],"category_scores_gemma":[0.0005713321,0.0001291901,0.0001122533,0.000472628,0.0005424771,0.0001604164,0.0002669593,0.0001858261,0.00006632469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000774909,"about_ca_system_score_gemma":0.0004861965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1660164,"about_ca_topic_score_gemma":0.4705426,"domain_scores_codex":[0.9998416,0.00003515904,0.0000141416,0.000051676,0.00003595223,0.00002144581],"domain_scores_gemma":[0.9994856,0.0001102123,0.0001701694,0.00002695111,0.00009962831,0.00010747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004627191,0.00001427361,0.9959511,0.000004512321,0.0000352428,0.00004278293,0.0005336793,0.0000967123,0.001937333,0.00003148704,0.00006097405,0.001245679],"study_design_scores_gemma":[0.000001636324,0.00001437028,0.9993851,0.000002177898,0.000005428592,0.00001411927,0.0002880803,0.0001158818,0.00006787245,0.000007507362,0.00009670181,0.00000103737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997725,0.00002306295,0.0000296315,0.00000753843,0.000001031521,0.000001324986,0.0000359661,8.009688e-7,0.0001281392],"genre_scores_gemma":[0.9996754,0.00002520796,0.00004658459,0.000004340043,0.000001318527,0.000002557302,0.00006509702,9.169957e-7,0.000178609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1660164,"threshold_uncertainty_score":0.3301003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007491606444529966,"score_gpt":0.202986038305605,"score_spread":0.1954944318610751,"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."}}