{"id":"W7133280392","doi":"","title":"Stock Assessment of Eastern Georges Bank Haddock","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":"","funders":"Fisheries and Oceans Canada","keywords":"Haddock; Stock (firearms); Fishing; Ecosystem; Stock assessment; Climate change; Bioeconomics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005288318,0.0002123771,0.0001132071,0.0008368742,0.0003211936,0.000548215,0.0004082738,0.0001675284,0.003493348],"category_scores_gemma":[0.0008247512,0.00009528043,0.0002089321,0.0005046608,0.0001155098,0.0002528409,0.0002550716,0.0001756593,0.0008014903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002812906,"about_ca_system_score_gemma":0.001727702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4771642,"about_ca_topic_score_gemma":0.7331972,"domain_scores_codex":[0.9999022,0.000007379916,0.00000641078,0.0000177509,0.00004474296,0.0000214167],"domain_scores_gemma":[0.999468,0.00002695475,0.000063723,0.00002264287,0.0003431586,0.00007545071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001435859,0.00004233806,0.9565293,0.0000396311,0.00007652692,0.0001579557,0.0001205431,0.006267929,0.0004918658,0.0004445046,0.009082114,0.02660367],"study_design_scores_gemma":[0.00001750007,0.0001013033,0.9711891,0.00008236661,0.00005478166,0.00007130676,0.0004074381,0.01472143,0.0008844134,0.0001228401,0.01232746,0.00002017789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569956,0.0001934551,0.0006645133,0.0001962478,0.00003387261,0.00006330905,0.02306371,0.00006487346,0.01872442],"genre_scores_gemma":[0.9616453,0.0002394211,0.001597503,0.00009997142,0.000009060155,0.00004014564,0.02024846,0.00001633593,0.01610387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5228358,"threshold_uncertainty_score":0.9487736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009779139903643364,"score_gpt":0.2631025317097336,"score_spread":0.2533233918060902,"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."}}