{"id":"W2064969581","doi":"10.1002/esp.1682","title":"Flow resistance in steep mountain streams","year":2008,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; BC Hydro (Canada)","funders":"University of British Columbia; Simon Fraser University; Ministry of Environment","keywords":"Tributary; Surface finish; Hydraulic roughness; Hydrology (agriculture); Flow (mathematics); Geology; STREAMS; Grain size; Sorting; Flow resistance; Environmental science; Geotechnical engineering; Geomorphology; Geometry; Materials science; Mathematics; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002692431,0.0001471704,0.0003263633,0.001169182,0.0004489295,0.0007298552,0.0002135731,0.0001870666,0.001000606],"category_scores_gemma":[0.001342017,0.0001273539,0.0001903236,0.00115049,0.0003397613,0.0001736141,0.0003578958,0.0001559122,0.0001450524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006781676,"about_ca_system_score_gemma":0.0003934244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1703115,"about_ca_topic_score_gemma":0.2616875,"domain_scores_codex":[0.999773,0.00003482453,0.00001933582,0.0000591358,0.00006080966,0.00005298635],"domain_scores_gemma":[0.9995042,0.0001060864,0.0001368296,0.00004476312,0.0001190666,0.00008907917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000085826,0.00001671645,0.9902511,0.00001488417,0.00004616281,0.00009857621,0.0003953458,0.001733693,0.001633969,0.00004935393,0.0001430399,0.005531283],"study_design_scores_gemma":[0.000001654184,0.0000152885,0.9988762,0.000001717894,0.000004581064,0.00002709172,0.00008434143,0.0007926825,0.00006565091,0.00001918712,0.0001085383,0.000003025886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995895,0.00001476173,0.00004269093,0.000002204525,1.881383e-7,0.000001724178,0.0001535452,0.000004086088,0.0001912957],"genre_scores_gemma":[0.999375,0.00001122339,0.00004673543,0.000001232942,4.345777e-7,0.00000182126,0.0004462737,8.980552e-7,0.000116356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1703115,"threshold_uncertainty_score":0.3386403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007275791267995707,"score_gpt":0.1934065438801256,"score_spread":0.1861307526121299,"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."}}