{"id":"W7133279819","doi":"","title":"Stock status of redfish in NAFO subarea 0, and subarea 2 + division 3K","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","keywords":"Stock (firearms); Division (mathematics); Fishing; Stock assessment; Fish stock","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006211802,0.0001251263,0.0001295608,0.00132121,0.0003673795,0.0003917082,0.0002782067,0.0001533255,0.001655444],"category_scores_gemma":[0.0005581998,0.00008155291,0.0001185141,0.0009959713,0.0001283917,0.0002339852,0.0002955407,0.000077052,0.0001998335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459833,"about_ca_system_score_gemma":0.001849883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.424705,"about_ca_topic_score_gemma":0.7630374,"domain_scores_codex":[0.9998449,0.000009178973,0.00001636288,0.00002437811,0.00006949288,0.00003575206],"domain_scores_gemma":[0.9992748,0.00004297232,0.0001422032,0.00001546729,0.0004221133,0.0001023742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000145463,0.00001785724,0.971432,0.00004557849,0.00002653094,0.00009499609,0.001288245,0.000159685,0.002636279,0.0001948903,0.002365148,0.0215933],"study_design_scores_gemma":[0.000003530022,0.00004877858,0.9931841,0.00001931635,0.00001485516,0.00004166519,0.001435994,0.0001055971,0.0003268099,0.00002302588,0.004792013,0.000004190342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858968,0.0003480462,0.00009697419,0.0001156095,0.0000108281,0.0000221398,0.003239775,0.0000118236,0.01025812],"genre_scores_gemma":[0.9838398,0.0004657341,0.0007613076,0.00007813139,0.000008181678,0.00002501663,0.00573839,0.000006830209,0.009076561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.575295,"threshold_uncertainty_score":0.8444659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091930917927052,"score_gpt":0.2439766232733152,"score_spread":0.2330573140940446,"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."}}