{"id":"W7133280140","doi":"","title":"Science response: groundfish data update 2021","year":2022,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Groundfish; Stock assessment; Stock (firearms); Population; Data sharing; Snapshot (computer storage); Discards","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007791149,0.001070488,0.001010941,0.003735919,0.002522972,0.004354313,0.002960449,0.01119996,0.1076982],"category_scores_gemma":[0.03022167,0.0008998493,0.0009629366,0.003517397,0.001119357,0.002624977,0.003858295,0.007736698,0.09730455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007335746,"about_ca_system_score_gemma":0.01960523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1233481,"about_ca_topic_score_gemma":0.1389681,"domain_scores_codex":[0.9910629,0.0007518749,0.0009034285,0.0006067658,0.005604994,0.00107009],"domain_scores_gemma":[0.9624123,0.004816649,0.001737973,0.001512567,0.02668445,0.002835992],"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":[0.00001596706,0.000007721351,0.0001637627,0.0000493698,0.000001490998,0.00001501681,0.000006788098,0.000009311765,0.00003465958,0.0001763175,0.9967251,0.002794511],"study_design_scores_gemma":[0.00001924026,0.000009673947,0.001325887,0.00008690252,0.000002893443,0.000009383511,0.0000437366,0.00003412935,0.00006368538,0.0001349272,0.998259,0.00001052235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001540976,0.001456003,0.001493786,0.3758126,0.08142237,0.002329469,0.3028494,0.004556144,0.2285394],"genre_scores_gemma":[0.005266776,0.001668811,0.003644939,0.3988658,0.01231792,0.002984432,0.1695989,0.0008871976,0.4047653],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8766519,"threshold_uncertainty_score":0.3602865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459889015388825,"score_gpt":0.2569169666949541,"score_spread":0.2423180765410659,"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."}}