{"id":"W7133291164","doi":"","title":"Skeena and Nass sockeye benchmarks","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":"Escapement; Stock (firearms); Productivity; Aggregate (composite); Stock assessment; Work (physics)","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":[0.006087719,0.0006623158,0.0005303467,0.002328356,0.001026131,0.003098018,0.001855439,0.0006315377,0.01348067],"category_scores_gemma":[0.01556487,0.0002212988,0.0005012753,0.001926025,0.0005291947,0.00195862,0.001853739,0.0007226649,0.003445438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004013555,"about_ca_system_score_gemma":0.003747129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06587748,"about_ca_topic_score_gemma":0.1744742,"domain_scores_codex":[0.9961032,0.0008870772,0.0002086338,0.0005480853,0.001881194,0.0003719248],"domain_scores_gemma":[0.9930661,0.001524029,0.0005312577,0.0005009437,0.003967641,0.0004100294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001917276,0.0006756915,0.2150122,0.0009789012,0.000282882,0.0002734752,0.001336218,0.1771367,0.004627562,0.1080374,0.09768559,0.3920362],"study_design_scores_gemma":[0.0002730171,0.002592076,0.3758368,0.001598079,0.0001541078,0.0002915256,0.007185537,0.2979425,0.01004141,0.04234506,0.2613956,0.0003442568],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5005374,0.0008206274,0.0420059,0.001345545,0.0003071321,0.0008323141,0.0186932,0.001485984,0.433972],"genre_scores_gemma":[0.8872312,0.0004947966,0.03502703,0.0004139882,0.00004271165,0.001045438,0.03286561,0.0003397383,0.04253947],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9341225,"threshold_uncertainty_score":0.1309881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007843317338514684,"score_gpt":0.2322652699945833,"score_spread":0.2244219526560686,"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."}}