{"id":"W4324055490","doi":"10.3390/jmse11030589","title":"Disentangling Population Level Differences in Juvenile Migration Phenology for Three Species of Salmon on the Yukon River","year":2023,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alaska Fisheries Science Center; North Pacific Research Board; U.S. Fish and Wildlife Service; National Fish and Wildlife Foundation; Arctic-Yukon-Kuskokwim Sustainable Salmon Initiative; National Oceanic and Atmospheric Administration; U.S. Department of Commerce; Pacific Salmon Commission","keywords":"Phenology; Oncorhynchus; Juvenile; Temperate climate; Ecology; Chinook wind; Climate change; Population; Sympatric speciation; Fishery; Geography; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0003469437,0.000179486,0.000237518,0.0006906291,0.0004636775,0.0003964439,0.0002322639,0.0001884388,0.0008173087],"category_scores_gemma":[0.0007735459,0.0001289389,0.0003755929,0.0007016677,0.0002962936,0.0002375141,0.0005295628,0.000209076,0.00007004348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006905994,"about_ca_system_score_gemma":0.0007665089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05852903,"about_ca_topic_score_gemma":0.1778761,"domain_scores_codex":[0.9997469,0.00006062995,0.00002648085,0.00007409843,0.00002830844,0.0000635511],"domain_scores_gemma":[0.9993469,0.0002025953,0.0001132069,0.0000536603,0.0001287659,0.0001548896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009154341,0.00001564037,0.9917557,0.000009154669,0.00008172294,0.00004608033,0.0004951415,0.00007339121,0.00447491,0.00004520587,0.00003497005,0.00287645],"study_design_scores_gemma":[9.406787e-7,0.00002214304,0.9992831,0.000001269112,0.00001224104,0.00001488608,0.0004143603,0.0001380663,0.0000596525,0.000007056645,0.0000446498,0.000001720569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998342,0.00001263354,0.00003839397,0.000003692937,6.251117e-7,0.000001325961,0.00004562333,9.448046e-7,0.00006262318],"genre_scores_gemma":[0.9996665,0.00001101119,0.00005799158,0.000004032826,3.509168e-7,0.000003749462,0.0001659193,8.758438e-7,0.00008962412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.941471,"threshold_uncertainty_score":0.1163767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02996731434104294,"score_gpt":0.2171129856248571,"score_spread":0.1871456712838141,"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."}}