{"id":"W2077422196","doi":"10.1002/rra.1478","title":"A hydrodynamic investigation of brown trout (<i>Salmo trutta</i>) and rainbow trout (<i>Oncorhynchus mykiss</i>) redd selection at the riffle scale","year":2011,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Riffle; Froude number; Salmo; Brown trout; Turbulence; Turbulence kinetic energy; Rainbow trout; Acoustic Doppler current profiler; Hydrology (agriculture); Flow velocity; Geology; Environmental science; Flow (mathematics); Fishery; Ecology; Mechanics; Physics; Geotechnical engineering; Oceanography; Biology; Current (fluid); Habitat; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002391456,0.0001616384,0.0001965517,0.0005833697,0.0003090588,0.0001978309,0.00016736,0.0001638728,0.0002710582],"category_scores_gemma":[0.0002876815,0.0001400253,0.0001852741,0.0002474923,0.0002785659,0.0001685004,0.0001915456,0.0001884087,0.00009113186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005277832,"about_ca_system_score_gemma":0.0003278477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01623394,"about_ca_topic_score_gemma":0.03053625,"domain_scores_codex":[0.9999157,0.00001307485,0.000003655352,0.00002723401,0.00002080951,0.00001945557],"domain_scores_gemma":[0.9997013,0.00003147632,0.00007414171,0.000008455383,0.00008309863,0.0001015814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003875895,0.0001754855,0.5256163,0.00004098965,0.00005907058,0.0003006588,0.0008174262,0.0007010876,0.4650282,0.00009009027,0.0001715548,0.006611511],"study_design_scores_gemma":[0.000004037372,0.0002401733,0.9950899,0.000001329636,0.000007441439,0.00005340971,0.0001877216,0.0007407467,0.003596251,0.000007248332,0.00006776169,0.000004083035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999763,0.00000849581,0.00008738817,0.000002893301,5.542141e-7,0.000003386498,0.00003496422,0.000003092995,0.00009612937],"genre_scores_gemma":[0.999188,0.00001411108,0.0003884409,0.00001092606,0.000001256519,0.00001005331,0.0001708727,0.000002869389,0.0002133478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01623394,"threshold_uncertainty_score":0.0322789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868014607826944,"score_gpt":0.2635334255818014,"score_spread":0.234853279503532,"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."}}