{"id":"W2757009341","doi":"10.15447/sfews.2017v15iss3art1","title":"Science Advancements Key to Increasing Management Value of Life Stage Monitoring Networks for Endangered Sacramento River Winter-Run Chinook Salmon in California","year":2017,"lang":"en","type":"article","venue":"San Francisco Estuary and Watershed Science","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"California Department of Fish and Wildlife; U.S. Fish and Wildlife Service; National Marine Fisheries Service; Killam Trusts","keywords":"Endangered species; Fish migration; Habitat; Abundance (ecology); Oncorhynchus; Chinook wind; Adaptive management; Geography; Population; Critical habitat; Resource (disambiguation); Environmental resource management; Fishery; Ecology; Environmental science; Biology; Computer science; Demography; Fish <Actinopterygii>","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01217434,0.0006668431,0.000502088,0.002335187,0.001481935,0.004454903,0.002569057,0.001337291,0.002925735],"category_scores_gemma":[0.03024982,0.0004597488,0.000469629,0.002254299,0.001069028,0.005420988,0.00171875,0.00205797,0.0003619691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0068148,"about_ca_system_score_gemma":0.01292225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1666641,"about_ca_topic_score_gemma":0.2557559,"domain_scores_codex":[0.9968004,0.00111825,0.0001991792,0.0007031857,0.0009414651,0.0002375468],"domain_scores_gemma":[0.9699277,0.0073725,0.004725089,0.002076589,0.01290711,0.00299093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001220346,0.0002365289,0.457334,0.0008031501,0.0002400261,0.0001413631,0.001263904,0.01245651,0.001276723,0.01632472,0.08060009,0.429201],"study_design_scores_gemma":[0.0001272303,0.0005761029,0.5813886,0.003656963,0.0005339068,0.0002404645,0.00735406,0.1202718,0.001849608,0.04356861,0.2402215,0.0002112574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4382169,0.04162207,0.05485257,0.3386201,0.002874593,0.0009225741,0.0117072,0.001881945,0.1093021],"genre_scores_gemma":[0.9088259,0.01649577,0.05801202,0.00581796,0.001001252,0.0003329867,0.004661431,0.00008666743,0.004766002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1666641,"threshold_uncertainty_score":0.331388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148166559026012,"score_gpt":0.2507809494911925,"score_spread":0.2392992839009323,"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."}}