{"id":"W3131902134","doi":"10.22541/au.157927292.26126702","title":"Stock specific high-seas distribution of maturing sockeye salmon in the North Pacific","year":2020,"lang":"en","type":"dataset","venue":"Authorea","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fisheries and Oceans Canada; Columbia River Inter-Tribal Fish Commission","keywords":"Oncorhynchus; Stock (firearms); Fishery; Pacific ocean; Bay; Oceanography; Peninsula; Population; Stock assessment; Fish stock; Geography; Chinook wind; Environmental science; Biology; Fish <Actinopterygii>; Geology; Fishing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003583467,0.0002478197,0.0004029222,0.00005225889,0.00009393801,0.00002952564,0.0009541436,0.0002304877,0.0009634736],"category_scores_gemma":[0.0000701458,0.000190832,0.0001245423,0.0006027932,0.0002367289,0.00007965642,0.000367979,0.000588201,0.001535645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002596814,"about_ca_system_score_gemma":0.00001549605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009828126,"about_ca_topic_score_gemma":0.002589848,"domain_scores_codex":[0.997979,0.0002670486,0.0004464299,0.0004915161,0.0004804532,0.000335528],"domain_scores_gemma":[0.9987653,0.0001237471,0.0002960451,0.0007521937,0.000006863137,0.00005584027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001679135,0.00009071825,0.01170376,0.00002029595,0.00001841687,0.00005719968,0.0001090734,0.0001326666,0.00001367321,0.00003281194,0.9873942,0.0004104356],"study_design_scores_gemma":[0.00009864631,0.00005227105,0.2814776,0.00001072962,0.0000557936,0.000004399858,0.00008943517,0.00002505009,0.00002035526,0.000139813,0.7178591,0.0001668273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0468968,0.00003675108,0.00002924825,0.0004416795,0.0002411293,0.0004154576,0.9515487,0.00001579053,0.0003744339],"genre_scores_gemma":[0.2968842,0.000136215,0.0000311425,0.00005188434,0.00008097334,0.00003248122,0.7027401,0.00001007327,0.00003290977],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2697739,"threshold_uncertainty_score":0.9999498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403141184913537,"score_gpt":0.229834271763186,"score_spread":0.2158028599140507,"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."}}