{"id":"W2005543309","doi":"10.1080/02755947.2011.562750","title":"The Impact of Different Performance Measures on Model Selection for Fraser River Sockeye Salmon","year":2011,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Akaike information criterion; Oncorhynchus; Statistics; Escapement; Stock assessment; Fishery; Environmental science; Model selection; Mean squared error; Spawn (biology); Fisheries management; Econometrics; Mathematics; Fishing; Fish <Actinopterygii>; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0566837,0.002408743,0.001556443,0.003188717,0.001344113,0.003507218,0.001422152,0.001670604,0.0008876366],"category_scores_gemma":[0.06424006,0.0006402407,0.002807123,0.001434309,0.001050578,0.002105334,0.00153878,0.002085773,0.0002677071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001798253,"about_ca_system_score_gemma":0.002684419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02393641,"about_ca_topic_score_gemma":0.01838909,"domain_scores_codex":[0.9888422,0.007342083,0.001061473,0.001314624,0.000746765,0.0006927847],"domain_scores_gemma":[0.9064507,0.07864924,0.004590957,0.00277962,0.006126173,0.001403292],"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":[0.001219243,0.0002515101,0.1409819,0.0001536327,0.001386729,0.0001392449,0.0002228438,0.8290982,0.002178272,0.0007617855,0.001205052,0.02240154],"study_design_scores_gemma":[0.00007231814,0.0009493732,0.02129573,0.00005727337,0.0003114982,0.00005692421,0.0002244521,0.9726767,0.003254292,0.0006977588,0.0003143107,0.00008940016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689205,0.0007756901,0.02687411,0.0005166109,0.00009026302,0.0001278538,0.0007519677,0.0008078064,0.001135325],"genre_scores_gemma":[0.9877257,0.00009232781,0.01066482,0.0000910188,0.00001900387,0.00005330209,0.0009044028,0.0001279026,0.0003216208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0566837,"threshold_uncertainty_score":0.2997757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669608582446948,"score_gpt":0.2160714609300808,"score_spread":0.1993753751056113,"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."}}