{"id":"W7133288496","doi":"","title":"Fraser Pink stock assessment in 2023","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":"Stock (firearms); Stock assessment; Fisheries management; Fish stock; Fishing","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":[0.001083552,0.000426971,0.0001991254,0.00318958,0.0009291888,0.0009715451,0.0007367802,0.0004355187,0.0104278],"category_scores_gemma":[0.001101242,0.0001779714,0.0002716398,0.001402689,0.0001998133,0.0004583714,0.0009293265,0.0004132077,0.004764289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004482351,"about_ca_system_score_gemma":0.006021621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5040444,"about_ca_topic_score_gemma":0.7599505,"domain_scores_codex":[0.9989563,0.00003108547,0.00004188584,0.00007372643,0.0007934318,0.0001034259],"domain_scores_gemma":[0.998656,0.00002175148,0.00009131404,0.00003722782,0.001080211,0.0001134556],"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":[0.0007575347,0.0001992722,0.3097472,0.0002473345,0.0001644448,0.0006903239,0.0009887958,0.003053334,0.007876563,0.006406572,0.2913203,0.3785482],"study_design_scores_gemma":[0.000023127,0.0001903726,0.6183154,0.0002571544,0.00005673758,0.0003384936,0.001305781,0.002393001,0.01054375,0.001234587,0.3652662,0.00007551024],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4194961,0.002678364,0.006209905,0.002939654,0.0005217777,0.001000943,0.08243703,0.001077008,0.4836393],"genre_scores_gemma":[0.5401799,0.002396332,0.01296772,0.001302615,0.00006103179,0.0002879117,0.08093544,0.0002912908,0.3615777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4959556,"threshold_uncertainty_score":0.9977527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009291174568755759,"score_gpt":0.2627034948323979,"score_spread":0.2534123202636421,"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."}}