{"id":"W7133270724","doi":"","title":"Stock assessment of NAFO divs. 2J3KL cod","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":"Capelin; Groundfish; Zooplankton; Herring; Forage fish; Stock (firearms); Ecosystem; Fish stock; Seasonality","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":[0.0006488625,0.0003257376,0.000140601,0.00170194,0.0004535649,0.0005799524,0.000516369,0.0001959742,0.001859522],"category_scores_gemma":[0.0007588237,0.000170292,0.0003135937,0.0007417419,0.0001259605,0.0003176929,0.000364853,0.0002115117,0.0004887906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002520995,"about_ca_system_score_gemma":0.001135029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3607543,"about_ca_topic_score_gemma":0.6760952,"domain_scores_codex":[0.9998313,0.0000082099,0.00002309651,0.0000362645,0.00005631113,0.00004482537],"domain_scores_gemma":[0.9990056,0.0000309396,0.0002437643,0.00003480813,0.0005579478,0.0001269583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006695015,0.00002910422,0.9906508,0.00001505654,0.00002640227,0.00006451095,0.0001248231,0.0002606882,0.0003039401,0.00003755147,0.001265009,0.007155225],"study_design_scores_gemma":[0.000003392096,0.00004914653,0.9977162,0.00001726413,0.00001694839,0.00003342876,0.000374508,0.0006081573,0.000163635,0.000009594862,0.00100358,0.000004106104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838222,0.0001288256,0.0002034875,0.00007995449,0.00001341389,0.00006979676,0.01229631,0.00001623981,0.003369852],"genre_scores_gemma":[0.9738539,0.0001370206,0.0008313483,0.00004641627,0.000006178357,0.00008310182,0.01885552,0.000004683931,0.006181876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6392457,"threshold_uncertainty_score":0.7173089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048998797498344,"score_gpt":0.2606876699541789,"score_spread":0.2501976819791955,"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."}}