{"id":"W2140128724","doi":"10.1002/rra.2666","title":"HYDRAULIC GEOMETRY AND LONGITUDINAL PATTERNS OF HABITAT QUANTITY AND QUALITY FOR RAINBOW TROUT (<i>Oncorhynchus mykiss</i>)","year":2013,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; University of Calgary","funders":"Alberta Innovates; Johnson and Johnson; Alberta Water Research Institute","keywords":"Habitat; Rainbow trout; Watershed; Environmental science; Hydrology (agriculture); Range (aeronautics); Trout; Ecology; Geology; Fishery; Biology; Geotechnical engineering; Fish <Actinopterygii>","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":[0.0003681531,0.0001631805,0.0001132085,0.0002768929,0.0001464761,0.000344249,0.0002052516,0.0001770665,0.0004326234],"category_scores_gemma":[0.0006925595,0.0001798628,0.0002835215,0.0001400505,0.0002653413,0.0003179531,0.0003379553,0.000112482,0.0001084128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000682231,"about_ca_system_score_gemma":0.0003629935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02307661,"about_ca_topic_score_gemma":0.03608057,"domain_scores_codex":[0.9999312,0.00001377201,0.000005472754,0.00002382308,0.00001427399,0.0000113832],"domain_scores_gemma":[0.9996969,0.00004957795,0.0001265425,0.00002417105,0.0000562977,0.00004657258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008673957,0.0000564939,0.8836303,0.00001587212,0.00006732401,0.00005960989,0.0001243843,0.09847657,0.01168885,0.0003151872,0.0003143,0.005164351],"study_design_scores_gemma":[0.000007403422,0.00008822257,0.8856316,0.000004015176,0.0000136499,0.00004056634,0.00008706364,0.1125574,0.001153843,0.0002652331,0.0001376066,0.00001357525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985285,0.000005021009,0.001222604,0.000008995466,3.439778e-7,0.000002835012,0.0000910155,0.00001678121,0.0001237699],"genre_scores_gemma":[0.9992632,0.000004103085,0.0005103488,0.000002192101,3.324002e-7,0.000003006096,0.0001412786,0.000003022936,0.0000725783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02307661,"threshold_uncertainty_score":0.04588461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0609713043902082,"score_gpt":0.3433766060439935,"score_spread":0.2824053016537853,"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."}}