{"id":"W7133284946","doi":"","title":"Assessment of Atlantic Herring in NAFO Div. 3KLPs to 2021","year":2025,"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":"Government of Canada; Fisheries and Oceans Canada","funders":"","keywords":"Bay; Herring; Stock (firearms); Stock assessment; Spring (device); West coast; Fishing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009193083,0.0004728781,0.0002079335,0.001679145,0.000610856,0.000728588,0.0004364053,0.0002976731,0.001295903],"category_scores_gemma":[0.0008286482,0.0001821303,0.0003341288,0.0007667325,0.0001507369,0.0004124952,0.0004997844,0.0003789756,0.0007319287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003946121,"about_ca_system_score_gemma":0.001806124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4277314,"about_ca_topic_score_gemma":0.7917491,"domain_scores_codex":[0.9995785,0.00002093045,0.00002977559,0.00004610181,0.0002190051,0.0001056531],"domain_scores_gemma":[0.9990295,0.00002706249,0.0001701337,0.00001585823,0.0006401469,0.0001172969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009552284,0.00004023232,0.9763688,0.00003937879,0.00006253194,0.0002123205,0.000246291,0.0007429656,0.001405123,0.00004726843,0.002274354,0.0184653],"study_design_scores_gemma":[0.000001900478,0.00006447475,0.9951043,0.00001938359,0.00001534269,0.00006189853,0.0004576405,0.0005072788,0.0002538399,0.00001111775,0.003498462,0.000004321467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800419,0.0005943673,0.0005292738,0.0001901751,0.00004152331,0.00006315616,0.006686122,0.00004341553,0.01181008],"genre_scores_gemma":[0.9676503,0.0007219557,0.001157676,0.0001938545,0.00002090267,0.0001089141,0.01598774,0.00001481211,0.01414386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5722686,"threshold_uncertainty_score":0.8504835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007622621710054857,"score_gpt":0.2603881164444212,"score_spread":0.2527654947343664,"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."}}