{"id":"W7133281622","doi":"","title":"Gulf of St. Lawrence (4RST) Atlantic Halibut Stock Assessment in 2024","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":"Fishing; Stock (firearms); Maximum sustainable yield; Stock assessment; Climate change; Biomass (ecology); Ecosystem; Overfishing","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":[0.0006836682,0.0004394081,0.00020316,0.001065103,0.0005452662,0.0008652078,0.0006831038,0.0003107998,0.002654093],"category_scores_gemma":[0.0006778014,0.0001364731,0.0003446507,0.0009252654,0.0001373122,0.0003540917,0.0005722135,0.0003273133,0.0006173424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005947646,"about_ca_system_score_gemma":0.004862613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7218319,"about_ca_topic_score_gemma":0.8464596,"domain_scores_codex":[0.9998166,0.00001322905,0.00001113568,0.00001171565,0.0001119786,0.00003535772],"domain_scores_gemma":[0.9993711,0.00001092267,0.00004212481,0.000008039975,0.0005074581,0.00006029274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006464762,0.0001738409,0.6146353,0.0002373906,0.0002903513,0.0005587015,0.0003360171,0.01432075,0.001871823,0.004960938,0.2099474,0.152021],"study_design_scores_gemma":[0.00015034,0.0003812312,0.7087704,0.0005856119,0.0002299659,0.0001709297,0.002113734,0.0284275,0.002701516,0.001429712,0.2549575,0.00008154783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6792129,0.002425191,0.002664705,0.005335614,0.0006369648,0.0005880246,0.1734761,0.0005229336,0.1351376],"genre_scores_gemma":[0.7381133,0.002968629,0.008064462,0.001855721,0.00007335882,0.0005223355,0.1466499,0.00005333574,0.1016989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2781681,"threshold_uncertainty_score":0.5596125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009645356655551208,"score_gpt":0.259935610366186,"score_spread":0.2502902537106347,"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."}}