{"id":"W22457537","doi":"","title":"Assessment: Chinook, Chum, and Whitefish Ecology in the Yukon River Basin","year":2013,"lang":"en","type":"article","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chinook wind; Fishery; Geography; Ecology; Structural basin; Fish <Actinopterygii>; Oncorhynchus; Biology; Paleontology","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":[0.0001139394,0.000300825,0.0001604001,0.0009298686,0.001217052,0.0004574755,0.0003580973,0.0006161627,0.001289836],"category_scores_gemma":[0.0004196263,0.0001566376,0.0001593039,0.0005753282,0.0004836372,0.0003909311,0.000718864,0.0002808159,0.0001495551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009239783,"about_ca_system_score_gemma":0.001116301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04653291,"about_ca_topic_score_gemma":0.1066838,"domain_scores_codex":[0.9998809,0.00001377976,0.00001370358,0.00001505298,0.0000219701,0.0000545971],"domain_scores_gemma":[0.9998797,0.00001195307,0.00003285795,0.000005653095,0.0000267187,0.00004305385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003852505,0.00003295206,0.8135921,0.00004463804,0.00001940423,0.1677858,0.003773335,0.0001148369,0.005000787,0.000185679,0.0006001861,0.008811843],"study_design_scores_gemma":[0.000005693867,0.0001344948,0.7452644,0.00006529325,0.00003803716,0.2255802,0.02327815,0.0008026693,0.001038336,0.0002710963,0.003495491,0.00002606486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983932,0.0001392876,0.0001189565,0.0002650136,0.000005451387,0.000008508577,0.00002540766,0.000005094429,0.00103901],"genre_scores_gemma":[0.999069,0.0001428253,0.0001646784,0.0001032141,0.000007034722,0.000003418,0.00003162874,0.000001472086,0.0004766927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9534671,"threshold_uncertainty_score":0.09252411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005828667730953839,"score_gpt":0.2091018990935126,"score_spread":0.2032732313625588,"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."}}