{"id":"W2145596723","doi":"10.1139/f2011-046","title":"Describing population dynamics for early life stages of rainbow trout (<i>Oncorhynchus mykiss</i>) using a stock synthesis model<sup>1</sup>This article is a companion to Korman et al. 2011, published this issue.","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. Geological Survey","keywords":"Rainbow trout; Trout; Flood myth; Habitat; Population; Population model; Ecology; Stock (firearms); Biology; Fishery; Environmental science; Geography; Demography; 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":[0.000986944,0.0005986397,0.0003787857,0.0004879443,0.0003045149,0.0007308648,0.001000709,0.00075442,0.003936411],"category_scores_gemma":[0.002269656,0.0004836362,0.0009803388,0.0004533661,0.0002540772,0.0008817028,0.0004651904,0.0005070855,0.0004023903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495391,"about_ca_system_score_gemma":0.001073306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05937048,"about_ca_topic_score_gemma":0.05037431,"domain_scores_codex":[0.9998621,0.00004190811,0.00001372577,0.00004734612,0.00001550427,0.00001945543],"domain_scores_gemma":[0.9991618,0.0005367612,0.0001295171,0.00003631699,0.00009911318,0.00003646577],"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":[0.000017532,0.00001255339,0.007262837,0.00002641354,0.00005148009,0.00004067566,0.0000543456,0.9860147,0.0004814895,0.002909581,0.0002346648,0.002893834],"study_design_scores_gemma":[0.000009668755,0.00001886569,0.001895488,0.000006440951,0.00003371468,0.00001187523,0.00002250303,0.9960471,0.0001156089,0.001554472,0.0002780761,0.000006086399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7294516,0.0007061013,0.2529236,0.0005733762,0.00009159454,0.0002161345,0.006870457,0.0003316601,0.008835585],"genre_scores_gemma":[0.9696211,0.000361824,0.01941844,0.00008576743,0.0000205336,0.0003094748,0.002033167,0.00004968688,0.008099976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05937048,"threshold_uncertainty_score":0.1180498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04905430414885997,"score_gpt":0.2387916534547387,"score_spread":0.1897373493058787,"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."}}