{"id":"W7133285918","doi":"","title":"2024 stock status update 4VWX Herring","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":"Herring; Stock (firearms); Nova scotia; Stock assessment; Fisheries management; Atlantic herring; Index (typography)","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":[0.001919839,0.0005424031,0.0002287689,0.003330013,0.0005597784,0.001283102,0.001094285,0.0005927184,0.02043267],"category_scores_gemma":[0.003937752,0.0002129253,0.0003744549,0.001702286,0.000118074,0.0008431873,0.0007008033,0.0005471352,0.01058131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002557584,"about_ca_system_score_gemma":0.005205514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3339768,"about_ca_topic_score_gemma":0.3082227,"domain_scores_codex":[0.9988887,0.0000580541,0.00008583687,0.00005912273,0.000809537,0.00009882854],"domain_scores_gemma":[0.9936819,0.000126151,0.0003334999,0.0002096478,0.00544915,0.0001997016],"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":[0.0002331799,0.0001060666,0.04805141,0.0002972136,0.00003680401,0.0002446963,0.0002314062,0.002057328,0.00185326,0.002954842,0.7027147,0.2412191],"study_design_scores_gemma":[0.00002253272,0.00008734361,0.0656818,0.0002001061,0.00001928194,0.00007325459,0.0002552317,0.001339305,0.001271725,0.00052332,0.9304973,0.00002876315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09581965,0.003624607,0.009416326,0.007495131,0.004587145,0.002859066,0.3807265,0.002705737,0.4927659],"genre_scores_gemma":[0.1280688,0.00337462,0.02449538,0.002634963,0.0005442329,0.001242785,0.4691,0.000424284,0.3701149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3339768,"threshold_uncertainty_score":0.6640656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00970352890751713,"score_gpt":0.2465933280447472,"score_spread":0.2368897991372301,"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."}}