{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000573919,0.00004244658,0.00008936726,0.0001103184,0.00008008017,0.000008132191,0.0001050379,0.00001286261,0.00001820219],"category_scores_gemma":[0.0002102536,0.00002780248,0.0000152075,0.0002798973,0.0001160519,0.000160168,0.000130019,0.00004921216,0.000001127463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003903708,"about_ca_system_score_gemma":0.000003022428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003279286,"about_ca_topic_score_gemma":0.0005514947,"domain_scores_codex":[0.9995351,0.000004623248,0.0001414069,0.00006701895,0.000146302,0.0001055611],"domain_scores_gemma":[0.9997606,0.0001040113,0.00007429158,0.00003752243,0.00001104764,0.00001254114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001351661,0.00001307973,0.9826731,0.00001039867,0.000004907419,0.000001398152,0.0003283056,0.01104658,0.001352684,0.0008386165,0.0003256711,0.003391743],"study_design_scores_gemma":[0.00009496199,0.00007492896,0.9706713,0.00001425611,0.000004453532,7.433036e-7,0.0001559821,0.02750946,0.0001433322,0.00124464,0.00005653171,0.0000294106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982319,0.000003778675,0.0003141784,0.001004359,0.0001415696,0.00006900304,5.509514e-7,0.000003789445,0.0002308507],"genre_scores_gemma":[0.9995353,0.00005923741,0.0003199699,0.00002058385,0.00002035954,0.000003076506,3.413541e-7,0.000001636689,0.0000395586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01646288,"threshold_uncertainty_score":0.1133752,"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."}}