{"id":"W7133280354","doi":"","title":"NAFO SA 0 redfish assessment","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":"Bycatch; Fishing; Population; Shrimp; Range (aeronautics); Halibut; Alewife; Biomass (ecology)","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":[0.001639978,0.0005524436,0.0002083524,0.002865665,0.000517974,0.000889426,0.0007098205,0.000324898,0.01054753],"category_scores_gemma":[0.002312561,0.0002405,0.000347418,0.001191405,0.000176457,0.0007579647,0.0009061551,0.0003317758,0.003384962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834677,"about_ca_system_score_gemma":0.003992276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2031789,"about_ca_topic_score_gemma":0.2743751,"domain_scores_codex":[0.9989479,0.0000877624,0.00009214506,0.0001200118,0.0006463342,0.0001057714],"domain_scores_gemma":[0.9966027,0.00006181805,0.0002799533,0.0000759548,0.00284139,0.0001381899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003946397,0.0001286571,0.4509013,0.0005891305,0.0001471826,0.000309545,0.0008396974,0.001248853,0.003916236,0.002847982,0.3047144,0.2339624],"study_design_scores_gemma":[0.0000314336,0.0001485954,0.3800461,0.0002752351,0.00005490473,0.0001622517,0.0009861555,0.001315568,0.001165419,0.0004228569,0.6153597,0.00003175218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3595612,0.002354914,0.007962869,0.001905326,0.001023485,0.001388184,0.1785159,0.001827664,0.4454605],"genre_scores_gemma":[0.486126,0.002475339,0.02582924,0.001178914,0.0001471344,0.001545639,0.2981532,0.0003450879,0.1841994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7968211,"threshold_uncertainty_score":0.4039925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009007717420109149,"score_gpt":0.2493797406581302,"score_spread":0.2403720232380211,"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."}}