{"id":"W4214504411","doi":"10.3390/w14050743","title":"Drag Coefficient of Submerged Flexible Vegetation Patches in Gravel Bed Rivers","year":2022,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"University of British Columbia; Shiraz University","keywords":"Drag coefficient; Drag; Vegetation (pathology); Geology; Flow (mathematics); Hydrology (agriculture); Reynolds number; Geotechnical engineering; Environmental science; Soil science; Geomorphology; Mechanics; Turbulence; Physics","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":[0.0001382952,0.0001700844,0.0002577529,0.0008660149,0.0002962165,0.0003668407,0.0001448651,0.0001595595,0.0003570966],"category_scores_gemma":[0.0005369167,0.0001357023,0.0001895229,0.000400554,0.0002692539,0.0002730055,0.000272395,0.00012031,0.00003550448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002652462,"about_ca_system_score_gemma":0.0001713521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005656989,"about_ca_topic_score_gemma":0.007334878,"domain_scores_codex":[0.9998976,0.00001109833,0.000007420306,0.00003051458,0.00002450239,0.0000287742],"domain_scores_gemma":[0.9998513,0.00004407473,0.00004482815,0.00001137958,0.0000232143,0.00002510108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002628884,0.00007291782,0.8845781,0.0001342317,0.0001223413,0.0008916224,0.0008264122,0.02740295,0.05095746,0.0005157129,0.0003355296,0.03389985],"study_design_scores_gemma":[0.000009389072,0.00009745318,0.965171,0.000009456198,0.00003150489,0.0002896245,0.0005326033,0.03053001,0.002794084,0.0001810814,0.0003323045,0.00002152749],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992644,0.00006654408,0.0004716453,0.000004564399,0.000001760982,0.000001540121,0.00001877725,0.000006220389,0.0001645253],"genre_scores_gemma":[0.9996665,0.00002339747,0.0002222888,0.000001349151,9.68541e-7,0.000001092926,0.00002608069,0.000001058356,0.00005728935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005656989,"threshold_uncertainty_score":0.01124811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008766892395291293,"score_gpt":0.2005263352753615,"score_spread":0.1917594428800702,"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."}}