{"id":"W2155199693","doi":"10.1139/f09-144","title":"Evaluation of performance of alternative management models of Pacific salmon (Oncorhynchus spp.) in the presence of climatic change and outcome uncertainty using Monte Carlo simulations","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Oncorhynchus; Fisheries management; Stock assessment; Stock (firearms); Fishing; Context (archaeology); Fishery; Population; Population model; Fish stock; Covariate; Environmental science; Environmental resource management; Ecology; Econometrics; Fish <Actinopterygii>; Geography; Biology; Economics","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":[0.009671582,0.001342369,0.001675213,0.001352793,0.0007968002,0.001592266,0.001530729,0.002110834,0.001043575],"category_scores_gemma":[0.01965284,0.0009949924,0.001410418,0.0006267805,0.001126799,0.001561341,0.0008018413,0.00123176,0.00009341626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003544757,"about_ca_system_score_gemma":0.002246377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03825954,"about_ca_topic_score_gemma":0.02179412,"domain_scores_codex":[0.9982194,0.001216155,0.000110534,0.0001957005,0.0001041414,0.0001540133],"domain_scores_gemma":[0.9603857,0.0347901,0.00194856,0.0007397108,0.001435225,0.0007007449],"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":[0.0001422952,0.00005453818,0.002996183,0.00001449137,0.00006661224,0.00001443974,0.00001803505,0.9955894,0.00008986922,0.0002927308,0.00003048963,0.0006910149],"study_design_scores_gemma":[0.00004726409,0.000122434,0.0006504902,0.000006694537,0.00003923861,0.000004453547,0.00001238389,0.9986792,0.0001167626,0.0002831109,0.00002795414,0.00001000622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875304,0.0002562506,0.009972207,0.0003161043,0.00002563436,0.0001001883,0.0002106552,0.0001034751,0.001485039],"genre_scores_gemma":[0.9944178,0.0000801954,0.005004805,0.00004978586,0.000008872272,0.00006839912,0.0001364288,0.00001274013,0.0002209362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9617404,"threshold_uncertainty_score":0.07607371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09340030446677314,"score_gpt":0.2847790899564359,"score_spread":0.1913787854896628,"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."}}