{"id":"W7133275325","doi":"","title":"Stock Status Update of Atlantic Halibut for 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":"Groundfish; Halibut; Stock (firearms); Stock assessment; Fisheries management; Atlantic herring","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":[0.001444184,0.0005248164,0.0003194331,0.004907613,0.0009836325,0.001641044,0.001149134,0.0008485981,0.04346243],"category_scores_gemma":[0.004404224,0.0002677735,0.0003462667,0.002500015,0.0001549069,0.0007297627,0.0008039725,0.0007914474,0.02680936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003850057,"about_ca_system_score_gemma":0.007383537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4800597,"about_ca_topic_score_gemma":0.4805705,"domain_scores_codex":[0.998668,0.00003580208,0.0000882396,0.0000697634,0.001013813,0.0001244733],"domain_scores_gemma":[0.9909115,0.000165511,0.0004551911,0.0002310742,0.007717781,0.0005190187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001137564,0.00003671892,0.007668011,0.000135746,0.00001658474,0.00008011764,0.00006044028,0.000227504,0.0003874353,0.0004236724,0.9318066,0.05904341],"study_design_scores_gemma":[0.00001996306,0.0000264884,0.03564616,0.0001458903,0.0000155929,0.00003509053,0.00008356934,0.0002657624,0.0005017308,0.0001402147,0.9630982,0.00002135755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0222575,0.003172295,0.00173485,0.008461908,0.008901138,0.0007996503,0.5905822,0.003110906,0.3609796],"genre_scores_gemma":[0.03974077,0.002546316,0.006513001,0.003838133,0.0009298511,0.0007933567,0.5165734,0.0006063249,0.4284588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5199403,"threshold_uncertainty_score":0.954531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008796394779137805,"score_gpt":0.2481838853324799,"score_spread":0.2393874905533421,"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."}}