{"id":"W4390437070","doi":"10.3390/fishes9010015","title":"Population Genetic Differentiation of Walleye (Sander vitreus) across the Eastern Highlands of the United States","year":2023,"lang":"en","type":"article","venue":"Fishes","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; U.S. Department of Agriculture; Auburn University; Virginia Department of Game and Inland Fisheries; National Institute of Food and Agriculture; Michigan Department of Natural Resources; Ministry of Natural Resources","keywords":"Sander; Range (aeronautics); Stocking; Geography; Bay; Fishery; Population; Ecology; Drainage basin; Biology; Archaeology; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009585621,0.00005176106,0.00007011985,0.00001400339,0.0001485396,0.000005760055,0.0001552074,0.0000240766,0.0001479329],"category_scores_gemma":[0.00002368165,0.00002831359,0.00002818098,0.0002514909,0.0001145453,0.00003740393,0.0002708065,0.00003150929,0.00002398348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000114744,"about_ca_system_score_gemma":5.963765e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006325459,"about_ca_topic_score_gemma":0.002513012,"domain_scores_codex":[0.9995154,0.00004681417,0.0001220658,0.00008492212,0.0001252874,0.000105523],"domain_scores_gemma":[0.9996939,0.00006137975,0.00008777622,0.0001448728,0.000005341521,0.000006720517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000554234,0.00001554853,0.9884558,0.00001034791,0.00002080294,1.250215e-7,0.001253676,0.003404188,0.00005282934,0.00001224391,0.006536243,0.0002326186],"study_design_scores_gemma":[0.0001144563,0.00001599711,0.993115,0.000005100784,0.00001512718,7.049611e-8,0.0003907258,0.004834564,0.0001437462,0.0006355605,0.000697478,0.00003218386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978779,0.000003519426,0.00003419807,0.00149328,0.0001078681,0.0001196113,0.000007924317,0.00001644301,0.0003392335],"genre_scores_gemma":[0.9985614,0.00004971171,0.000007418483,0.0001452997,0.000008287934,0.00001094311,0.00003356048,0.000003698992,0.001179652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005838764,"threshold_uncertainty_score":0.1619762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206731185187219,"score_gpt":0.2271513864846262,"score_spread":0.215084074632754,"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."}}