{"id":"W4395139332","doi":"10.15468/atjqs6","title":"NuSEDS - New Salmon Escapement Database System","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Escapement; Database; Computer science; Fishery; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000276452,0.0002830509,0.0002913793,0.00003771404,0.0004582005,0.00008532045,0.0004988035,0.0002363208,0.008577531],"category_scores_gemma":[0.00006278769,0.0002959301,0.0001076192,0.0002789078,0.000158151,0.001014506,0.002051003,0.0001915746,0.1118393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148318,"about_ca_system_score_gemma":0.00004352504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003655004,"about_ca_topic_score_gemma":0.001489502,"domain_scores_codex":[0.9984086,0.00007099095,0.0003631118,0.0003143583,0.0005170078,0.0003259041],"domain_scores_gemma":[0.9989393,0.00001319185,0.0002515984,0.0006090629,0.00002556567,0.0001613047],"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":[0.00002723465,0.00004363893,0.008439259,0.0002120396,0.00007418953,0.00001760499,0.00003027619,0.00004222641,3.304514e-8,8.457285e-7,0.990858,0.000254674],"study_design_scores_gemma":[0.0003850964,0.00002650539,0.007378567,0.000007860535,0.0001283422,0.000004385105,0.0006043776,0.000001511427,0.000001578633,7.18743e-7,0.9911978,0.0002632748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005097939,0.00000971282,0.00005002539,0.0003924576,0.0006493053,0.0003920542,0.9947719,0.00009070138,0.00313405],"genre_scores_gemma":[0.00004109508,0.00006784611,0.00002621752,0.001321347,0.000005199533,0.00000564125,0.9985184,9.904277e-8,0.00001413001],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1032618,"threshold_uncertainty_score":0.9999493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111163032997031,"score_gpt":0.1941154885304105,"score_spread":0.1829991852307074,"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."}}