{"id":"W7133281427","doi":"","title":"Eastern Georges Bank haddock assessment","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":"National Marine Fisheries Service; Fisheries and Oceans Canada","keywords":"Haddock; Fishing; Stock (firearms); Stock assessment; 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":[0.0009162955,0.0003915486,0.0001848254,0.001010233,0.0007084642,0.000951096,0.0008664225,0.000313398,0.01392052],"category_scores_gemma":[0.00155531,0.0001643816,0.000367911,0.0009178563,0.0001922512,0.0003093044,0.0006831947,0.000429235,0.002693575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006264322,"about_ca_system_score_gemma":0.009283285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8072422,"about_ca_topic_score_gemma":0.9174352,"domain_scores_codex":[0.9994733,0.00003548152,0.0000203313,0.00004890368,0.0003329116,0.00008909527],"domain_scores_gemma":[0.9988781,0.00003199543,0.00006123185,0.00004407842,0.0008697786,0.0001149682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004900867,0.0001766836,0.5907053,0.0003062684,0.0002825618,0.0006414059,0.0004112799,0.01481863,0.00160972,0.004116928,0.2612416,0.1251995],"study_design_scores_gemma":[0.00005740943,0.0001433458,0.7427584,0.0004041738,0.0001235313,0.0001725899,0.001050734,0.01042388,0.001736665,0.0006422494,0.2424258,0.00006129582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4830749,0.0008598007,0.003852168,0.001900431,0.000239475,0.001156397,0.1729215,0.0005339229,0.3354614],"genre_scores_gemma":[0.6978202,0.001240463,0.008603929,0.001030869,0.00003044517,0.0005943254,0.1059324,0.0001534694,0.1845939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1927578,"threshold_uncertainty_score":0.387786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012644313191446,"score_gpt":0.2589144142445031,"score_spread":0.2487879711125887,"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."}}