{"id":"W7133268171","doi":"","title":"Biological benchmarks for the Canadian-origin Yukon River mainstem chinook salmon","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":"Fisheries and Oceans Canada","keywords":"Escapement; Chinook wind; Stock (firearms); Stock assessment; Oncorhynchus; Tributary; Adaptive management","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":[0.006727302,0.0004510545,0.0003125339,0.002001454,0.0009210391,0.001362215,0.001270762,0.0003569504,0.0005883544],"category_scores_gemma":[0.01135604,0.0001938709,0.0005450649,0.002151509,0.0005404959,0.0006903915,0.001025447,0.0005670011,0.0001290044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009696075,"about_ca_system_score_gemma":0.01433938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7918448,"about_ca_topic_score_gemma":0.8932917,"domain_scores_codex":[0.9977424,0.0003654127,0.0001903325,0.0002498826,0.001226836,0.0002251844],"domain_scores_gemma":[0.9921332,0.001240023,0.0009248239,0.0003718229,0.005017707,0.0003125378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000212199,0.00004177502,0.8545649,0.0005111092,0.0003029052,0.0001358146,0.001332969,0.07046563,0.002705714,0.007466345,0.008175423,0.05408521],"study_design_scores_gemma":[0.000008990758,0.0001552605,0.9609213,0.0002294164,0.00009086858,0.00004552492,0.001461537,0.02222692,0.001327603,0.002031259,0.01143754,0.00006372414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9261625,0.004829201,0.02749887,0.001599639,0.00006616452,0.0002271747,0.0188299,0.0003138435,0.02047268],"genre_scores_gemma":[0.9835504,0.0006815352,0.007960355,0.0001492359,0.000008631869,0.00008455638,0.006564466,0.00002413343,0.000976555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2081552,"threshold_uncertainty_score":0.418762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507256992771706,"score_gpt":0.2434334388517445,"score_spread":0.2283608689240275,"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."}}