{"id":"W7133276643","doi":"","title":"Science response: shrimp status update WAZ and EAZ","year":2022,"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":"Shrimp; Stock assessment; Fishing; Stock (firearms); Exclusive economic zone; Fish stock","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":[0.007391901,0.0008203295,0.0007967994,0.003375534,0.002591707,0.003448301,0.002298631,0.009273351,0.05963801],"category_scores_gemma":[0.02992721,0.0006033048,0.0009374713,0.002133753,0.0007756645,0.00145166,0.002950794,0.003901043,0.04465315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007866243,"about_ca_system_score_gemma":0.03252033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2077727,"about_ca_topic_score_gemma":0.2058783,"domain_scores_codex":[0.9901129,0.0008232701,0.0007241488,0.0004649526,0.006612679,0.001262033],"domain_scores_gemma":[0.9410446,0.004313856,0.001919977,0.00182506,0.04798158,0.002914928],"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":[0.0000465833,0.00003268564,0.0008436521,0.00007939948,0.000004692719,0.00007441073,0.00003902781,0.00006767295,0.0002246065,0.0003349746,0.9910855,0.007166794],"study_design_scores_gemma":[0.00003359382,0.00003452744,0.004342215,0.00006311938,0.000005305641,0.00002600979,0.0001482246,0.0001115233,0.0002595024,0.0001729592,0.9947856,0.00001749799],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0127146,0.001774681,0.003328352,0.3234951,0.04764987,0.007728811,0.1295964,0.007423186,0.466289],"genre_scores_gemma":[0.02629312,0.001881995,0.005687986,0.1769328,0.007109735,0.004345495,0.07165139,0.000919472,0.7051781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2077727,"threshold_uncertainty_score":0.4131266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007336331032420797,"score_gpt":0.2365297034129415,"score_spread":0.2291933723805207,"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."}}