{"id":"W7133277258","doi":"","title":"2023 stock status update 4VWX herring","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":"Fisheries and Oceans Canada; Dartmouth College","keywords":"Herring; Fishing; Atlantic herring; Stock (firearms); Stock assessment; Fisheries management; Fish stock","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":[0.001360634,0.0005325695,0.0002261368,0.00260625,0.000543588,0.001004118,0.0008357411,0.0004583516,0.02174985],"category_scores_gemma":[0.002857614,0.0001757669,0.0003359749,0.001302637,0.0001028553,0.0006228434,0.0005147103,0.0005003874,0.01097291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002314208,"about_ca_system_score_gemma":0.004398277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3848243,"about_ca_topic_score_gemma":0.4241202,"domain_scores_codex":[0.999136,0.00004396367,0.00005595853,0.00004763055,0.0006395289,0.00007695355],"domain_scores_gemma":[0.9953981,0.00009316725,0.0002445739,0.0001322395,0.003969874,0.0001620239],"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":[0.0002424199,0.0001092598,0.07530552,0.0002601234,0.00004071699,0.0002184187,0.0002204913,0.00322475,0.002246807,0.002259813,0.6005033,0.3153684],"study_design_scores_gemma":[0.00003256291,0.0001391079,0.1397606,0.0002399966,0.00002795615,0.0001048548,0.0004276904,0.00422539,0.002452058,0.0007611529,0.8517813,0.0000472881],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1222423,0.002882614,0.01398563,0.005632948,0.002978013,0.003032795,0.351582,0.002916825,0.4947469],"genre_scores_gemma":[0.2009986,0.002904366,0.03332279,0.002179511,0.000416495,0.001255665,0.3936865,0.0004521741,0.3647839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6151757,"threshold_uncertainty_score":0.7651688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152510371632941,"score_gpt":0.2465302969935179,"score_spread":0.2350051932771885,"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."}}