{"id":"W4410249818","doi":"10.1111/eva.70108","title":"Genetic Identification of Lamprey Genera and Anadromous Ecotypes in Watersheds of the Northeastern Pacific Ocean","year":2025,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bonneville Power Administration; California Department of Fish and Wildlife; Washington Department of Fish and Wildlife","keywords":"Lampetra; Ecotype; Lamprey; Fish migration; Biology; Tributary; Coregonus; Zoology; Ecology; Fishery; Geography; Fish <Actinopterygii>; Cartography","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":[0.0001659126,0.0001737163,0.0001863075,0.001310975,0.0006473949,0.0004232972,0.0002549291,0.0001583328,0.0005888725],"category_scores_gemma":[0.00039572,0.0001353514,0.0001673354,0.001057724,0.0003004656,0.0001282253,0.0003224516,0.0001687208,0.00009021137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008631866,"about_ca_system_score_gemma":0.0006923095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2606762,"about_ca_topic_score_gemma":0.5695595,"domain_scores_codex":[0.9998062,0.00001582394,0.00001747232,0.00007806647,0.00004557004,0.00003690547],"domain_scores_gemma":[0.9995783,0.00004360957,0.0001181862,0.00002347248,0.0001422293,0.00009410158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004933416,0.00001190955,0.9857707,0.00001221592,0.00003281694,0.00006579397,0.0005614607,0.00004487881,0.01133367,0.00001508096,0.0000562536,0.002045797],"study_design_scores_gemma":[6.657056e-7,0.000003842375,0.9994542,0.000001793918,0.000004997427,0.00001687077,0.0002625156,0.00004849166,0.0001418921,0.000002158378,0.00006188322,7.945175e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999503,0.00002040159,0.00003944492,0.000002922512,4.805267e-7,0.000004276333,0.0002040147,0.000001962647,0.0002234941],"genre_scores_gemma":[0.9988887,0.00003216268,0.0001945946,0.000009235701,7.260722e-7,0.00001257058,0.0006183317,0.000002273478,0.0002415021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2606762,"threshold_uncertainty_score":0.5183178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003086444263973379,"score_gpt":0.1874863449606936,"score_spread":0.1843999006967202,"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."}}