{"id":"W2752486133","doi":"10.1139/cjfas-2017-0197","title":"Spatial and temporal patterns of covariation in productivity of Chinook salmon populations of the northeastern Pacific Ocean","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Victoria General Hospital","funders":"Fisheries and Oceans Canada; Canada Research Chairs","keywords":"Oncorhynchus; Chinook wind; Productivity; Pacific decadal oscillation; Ocean gyre; Fishery; Geography; Hatchery; Ecology; Oceanography; Biology; Environmental science; Sea surface temperature; Fish <Actinopterygii>; Subtropics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005047296,0.0001176573,0.0001461768,0.00088141,0.000296483,0.000404579,0.0002033517,0.0001480249,0.0005681108],"category_scores_gemma":[0.001606331,0.0001588253,0.0002538394,0.001008881,0.0004081077,0.0003708105,0.0004962902,0.0001876659,0.00005714954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005021993,"about_ca_system_score_gemma":0.0005032734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05906529,"about_ca_topic_score_gemma":0.1526599,"domain_scores_codex":[0.9997873,0.0000328143,0.00002584876,0.00007042865,0.00003824592,0.00004532975],"domain_scores_gemma":[0.9987796,0.0002550643,0.0004956528,0.0001092378,0.0002122192,0.0001482321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000253404,0.000006154266,0.996689,0.000003900509,0.00003189399,0.00002519245,0.0003274331,0.00007649855,0.001320275,0.00002059412,0.00002104995,0.00145268],"study_design_scores_gemma":[5.152093e-7,0.000005214601,0.9997124,7.69649e-7,0.000003475267,0.00001111485,0.0001183821,0.00009073708,0.00003048238,0.000006234862,0.00001966544,0.000001061367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997608,0.00001917211,0.00004561458,0.000006589679,7.579355e-7,9.524437e-7,0.00006332535,0.000001398134,0.0001013963],"genre_scores_gemma":[0.9996814,0.00001938834,0.00005924904,0.000002409501,0.00000161811,0.000002819637,0.0001644418,8.887625e-7,0.00006781685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05906529,"threshold_uncertainty_score":0.117443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013771850841142,"score_gpt":0.2434382986984885,"score_spread":0.2133005801900771,"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."}}