{"id":"W3005090438","doi":"10.1111/fog.12469","title":"Time‐varying relationships between ocean conditions and sockeye salmon productivity","year":2020,"lang":"en","type":"article","venue":"Fisheries Oceanography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada; Alaska Department of Fish and Game; Simon Fraser University; Massachusetts Department of Fish and Game","keywords":"Pacific decadal oscillation; Oncorhynchus; Ocean gyre; Productivity; Sea surface temperature; Oceanography; Environmental science; Pacific ocean; Fishery; Fish stock; Ecosystem; Marine ecosystem; Regime shift; Fish <Actinopterygii>; Ecology; Biology; Geology; Subtropics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002251636,0.0001783705,0.0002038721,0.00005334681,0.0005785989,0.0001046942,0.0002124836,0.0000926868,0.004511805],"category_scores_gemma":[0.0001914583,0.0001795429,0.00007875838,0.0007977428,0.0007821039,0.0007110158,0.0003714128,0.0004104608,0.0001479705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002086843,"about_ca_system_score_gemma":0.00001043169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003429042,"about_ca_topic_score_gemma":0.000007984971,"domain_scores_codex":[0.9985172,0.0001372626,0.0002144773,0.0004697205,0.0003236553,0.0003376573],"domain_scores_gemma":[0.9992731,0.0001205611,0.00006420899,0.0002417268,0.00001506721,0.0002853012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001803721,0.00002117976,0.9630957,0.00002055625,0.00002411164,0.000004093726,0.0009938281,0.000005495715,0.0001179936,0.00002007436,0.03421769,0.001461222],"study_design_scores_gemma":[0.0002904543,0.0001954375,0.7795045,0.000005205511,0.00003460312,0.000004323719,0.000302884,0.0003926957,0.0002137742,0.001028714,0.2176543,0.0003730334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8777645,0.00001118728,0.00005805475,0.006078344,0.0000259785,0.0003058834,0.00006259129,0.0001892909,0.1155042],"genre_scores_gemma":[0.9981247,0.00001884245,0.0005627346,0.0002191221,0.0001417316,0.000008905592,0.0001228571,0.00002613365,0.0007749268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1835912,"threshold_uncertainty_score":0.9963982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367446065178182,"score_gpt":0.2336645491241436,"score_spread":0.1999900884723617,"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."}}