{"id":"W7133275156","doi":"","title":"NAFO Divisions 2J3KL Northern Cod Stock Assessment to 2025","year":2025,"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":"Groundfish; Fishing; Stock (firearms); Capelin; Climate change; Stock assessment; Fish stock; Zooplankton","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":[0.001869048,0.0004968335,0.0002242134,0.002266693,0.0005559053,0.001268989,0.0007119193,0.0004802535,0.01440208],"category_scores_gemma":[0.001811989,0.0002024336,0.000528287,0.001298871,0.0001270537,0.0005986896,0.0009719947,0.0004101883,0.0050421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003170186,"about_ca_system_score_gemma":0.005515268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2369873,"about_ca_topic_score_gemma":0.2482033,"domain_scores_codex":[0.9993299,0.00006000117,0.00007228072,0.00007461941,0.0003223253,0.0001407733],"domain_scores_gemma":[0.9982419,0.00004668235,0.0001990135,0.00005149467,0.001312688,0.000148295],"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":[0.0008046054,0.000139279,0.2444554,0.0007565665,0.0002043031,0.0004234592,0.0003618665,0.003391533,0.002111256,0.007785819,0.4363983,0.3031676],"study_design_scores_gemma":[0.00007876058,0.0001404233,0.2747912,0.0007775304,0.0000670189,0.000166474,0.0005842299,0.002509303,0.001236671,0.001438109,0.7181733,0.00003688141],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1762654,0.005327267,0.006586946,0.005434086,0.002429953,0.001193556,0.2767313,0.001141567,0.5248899],"genre_scores_gemma":[0.3272543,0.004665975,0.0186178,0.002897363,0.0003335558,0.001484265,0.350991,0.0003082699,0.2934474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7630128,"threshold_uncertainty_score":0.4712157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009854382717263488,"score_gpt":0.2714576518514512,"score_spread":0.2616032691341877,"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."}}