{"id":"W2154367765","doi":"10.1139/f10-166","title":"Historical abundance of Puget Sound steelhead, Oncorhynchus mykiss, estimated from catch record data","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Marine Fisheries Service; University of Washington","keywords":"Sound (geography); Abundance (ecology); Rainbow trout; Habitat; Environmental science; Fishery; STREAMS; Ecology; Geography; Fish <Actinopterygii>; Biology; Oceanography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004741688,0.0001890558,0.0001187427,0.001286192,0.0002919431,0.0002665226,0.0002063197,0.0001236292,0.0005319304],"category_scores_gemma":[0.001853641,0.0002289972,0.0001550588,0.0006798675,0.0002235212,0.0004180831,0.0002497604,0.0001517846,0.0001482451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000818663,"about_ca_system_score_gemma":0.0003110197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0751036,"about_ca_topic_score_gemma":0.1988615,"domain_scores_codex":[0.9997875,0.00002693273,0.00002446372,0.00007519183,0.00006324508,0.00002271981],"domain_scores_gemma":[0.9992971,0.0001226819,0.0002601491,0.0000581581,0.0002196686,0.00004217841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001612096,0.000006472121,0.9939919,0.00000853281,0.00003225511,0.00002740791,0.0001175692,0.0008790952,0.0003841156,0.00002759112,0.0001181415,0.00439083],"study_design_scores_gemma":[0.000002318153,0.00002359535,0.9971851,0.000005093615,0.00002120207,0.00005637454,0.0000764149,0.001936384,0.0002404585,0.00002264523,0.0004246331,0.00000581016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990448,0.00004224037,0.0003183341,0.000005910132,0.000001212846,0.000002331515,0.0003821499,0.000008588742,0.000194317],"genre_scores_gemma":[0.997499,0.00006909676,0.0007410736,0.000005215973,0.000003348234,0.000006965421,0.001528091,0.000003084482,0.0001440871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9248964,"threshold_uncertainty_score":0.1493329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07790454253403581,"score_gpt":0.2442787118130001,"score_spread":0.1663741692789643,"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."}}