{"id":"W7133270753","doi":"","title":"Reference Points for Canadian Eastern Georges Bank Haddock Fisheries","year":2024,"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); Stock assessment; Productivity; Biomass (ecology); Fisheries management","routes":{"ca_aff":false,"ca_fund":true,"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":[0.002774222,0.00058687,0.0003708979,0.003528292,0.001754427,0.001719315,0.002283909,0.0004359625,0.003848213],"category_scores_gemma":[0.006471435,0.0002802457,0.0006986244,0.00381678,0.0004745801,0.0009231094,0.001041511,0.0009525084,0.0007294821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01310261,"about_ca_system_score_gemma":0.01564325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9208154,"about_ca_topic_score_gemma":0.9432864,"domain_scores_codex":[0.9987645,0.0001530267,0.00008097455,0.0001786046,0.0006608538,0.0001619897],"domain_scores_gemma":[0.9962652,0.0002481694,0.000241464,0.0001671843,0.002976469,0.0001014536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006804968,0.0001531232,0.2782215,0.00064438,0.0001993031,0.0004802998,0.001898925,0.2218227,0.00514906,0.03925119,0.09168644,0.3598126],"study_design_scores_gemma":[0.0001210502,0.0003354875,0.5416669,0.0009428355,0.0001642589,0.0001721213,0.003072876,0.2277922,0.0111896,0.008134528,0.2059908,0.0004173096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6438478,0.004628209,0.1753996,0.001734599,0.000480506,0.001360685,0.05631737,0.002625,0.1136062],"genre_scores_gemma":[0.8226052,0.001346082,0.1315697,0.0001654819,0.00002006063,0.0005433573,0.03009851,0.0002262001,0.01342528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07918459,"threshold_uncertainty_score":0.1593018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589697397270553,"score_gpt":0.2427855767780562,"score_spread":0.2268886028053506,"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."}}