{"id":"W7133284039","doi":"","title":"Okanagan Chinook stock assessment 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":"Chinook wind; Interim; Stock (firearms); Fisheries management; Stock assessment","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001005854,0.0003814368,0.0002040739,0.002986921,0.001280471,0.001336337,0.0006995538,0.0003845328,0.01726894],"category_scores_gemma":[0.001194943,0.0002380212,0.0003158046,0.001842033,0.0002083971,0.0004495389,0.0009766188,0.0004061019,0.005609901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006670931,"about_ca_system_score_gemma":0.01487374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7544889,"about_ca_topic_score_gemma":0.9137669,"domain_scores_codex":[0.9991854,0.00002122769,0.00003288515,0.00003496799,0.0006472285,0.00007826235],"domain_scores_gemma":[0.9978175,0.00002715034,0.0000713616,0.00005254418,0.001928069,0.0001033631],"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":[0.000522127,0.0001322238,0.1805946,0.0006077642,0.0001873831,0.0006293005,0.0009739007,0.001688211,0.01048955,0.005136434,0.5033978,0.2956407],"study_design_scores_gemma":[0.00003374146,0.00009274828,0.4032675,0.0002524641,0.00007903729,0.0001149736,0.001662362,0.001950494,0.00586681,0.0006764801,0.5859333,0.00007014548],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1849318,0.001287528,0.003237343,0.002836327,0.0005458363,0.002101667,0.1713737,0.0009203279,0.6327654],"genre_scores_gemma":[0.2667468,0.002556171,0.0161936,0.001196675,0.00006840243,0.0008049598,0.1771445,0.0004239272,0.534865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2455111,"threshold_uncertainty_score":0.4939139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008364208313585678,"score_gpt":0.2579069287767441,"score_spread":0.2495427204631584,"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."}}