{"id":"W7133284684","doi":"","title":"Science Response : Stock status update of Atlantic Halibut for 2023","year":2023,"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":"","keywords":"Halibut; Resource (disambiguation); Hippoglossus hippoglossus; Stock assessment; Groundfish; Fisheries management; Index (typography); Index method","routes":{"ca_aff":false,"ca_fund":false,"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":[0.00181951,0.0007142458,0.000489682,0.002338351,0.0006991402,0.001343544,0.001244238,0.001915951,0.03599376],"category_scores_gemma":[0.00500255,0.0002507427,0.0004520611,0.001484855,0.0002119945,0.00101563,0.00118897,0.001835407,0.02224087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731243,"about_ca_system_score_gemma":0.003807758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04930359,"about_ca_topic_score_gemma":0.06734389,"domain_scores_codex":[0.9987831,0.00008464217,0.0001549984,0.00008749338,0.0007576526,0.0001321505],"domain_scores_gemma":[0.9914303,0.0003355539,0.0005923794,0.0002355353,0.006679746,0.0007265064],"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":[0.00005920843,0.00002126381,0.002521753,0.0001614756,0.00000781305,0.00003912487,0.00001633159,0.0000431628,0.0001990705,0.0001523935,0.9653818,0.03139653],"study_design_scores_gemma":[0.00002932318,0.00003050632,0.01767263,0.0002089988,0.0000101084,0.00003625255,0.00007617984,0.0001421057,0.0001788918,0.0001558772,0.9814447,0.00001440354],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01355263,0.01019553,0.002516193,0.1558244,0.1201618,0.001969245,0.4284596,0.004222772,0.2630978],"genre_scores_gemma":[0.05298058,0.01075297,0.009363952,0.08904717,0.02827936,0.003098515,0.3698249,0.0006365217,0.436016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9506964,"threshold_uncertainty_score":0.1204111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268908067389722,"score_gpt":0.2605632634583294,"score_spread":0.2478741827844322,"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."}}