{"id":"W3005061281","doi":"10.1139/cjfas-2019-0282","title":"Incorporating harvest–population diversity trade-offs into harvest policy analyses of salmon management in large river basins","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Arctic-Yukon-Kuskokwim Sustainable Salmon Initiative","keywords":"Oncorhynchus; Overfishing; Fishery; Subsistence agriculture; Stock (firearms); Population; Fisheries management; Sustainability; Chinook wind; Geography; Fishing; Ecology; Agriculture; Biology; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003888874,0.0004276017,0.0006605564,0.0007277788,0.0006580872,0.0018321,0.000796747,0.001247806,0.001869501],"category_scores_gemma":[0.01162467,0.0006134476,0.0006965445,0.0005917345,0.0009425813,0.002301857,0.0009197416,0.00113152,0.00008746079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003634995,"about_ca_system_score_gemma":0.002054527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02934701,"about_ca_topic_score_gemma":0.03856027,"domain_scores_codex":[0.9992181,0.0004471804,0.00003681032,0.0001193196,0.000048641,0.0001299387],"domain_scores_gemma":[0.993784,0.004949287,0.0006486256,0.0001833784,0.0001989144,0.0002358473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008083434,0.0001101717,0.02205933,0.00001706612,0.0001112516,0.00003620507,0.00005134993,0.9735237,0.0003033195,0.001439264,0.00008019479,0.002187396],"study_design_scores_gemma":[0.00002968551,0.0001660005,0.01095711,0.000009408046,0.00003897943,0.000009618136,0.0001208741,0.9843865,0.0001846726,0.003929776,0.0001512811,0.00001604481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903791,0.00006695886,0.007656428,0.0001506278,0.000008702207,0.00004907166,0.0001150524,0.0000269353,0.001547035],"genre_scores_gemma":[0.9981045,0.00002858068,0.001538282,0.00002618409,0.000002703438,0.00002468946,0.00004235907,0.000005712582,0.0002268537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02934701,"threshold_uncertainty_score":0.05835235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0344208400691598,"score_gpt":0.2511524557802642,"score_spread":0.2167316157111044,"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."}}