{"id":"W1879677498","doi":"10.1002/rra.2908","title":"Effect of Adverse Pressure Gradient and Different Vegetated Banks on Flow","year":2015,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; Université Laval","funders":"","keywords":"Pressure gradient; Shear stress; Geology; Vegetation (pathology); Environmental science; Flow (mathematics); Hydrology (agriculture); Hydraulic roughness; Geotechnical engineering; Soil science; Mechanics; Surface finish; Materials science; Oceanography","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":[0.0001482254,0.0002760995,0.0003091546,0.0002768937,0.0002190724,0.0004047311,0.0001325209,0.0001635671,0.0009354901],"category_scores_gemma":[0.0004076479,0.0001669008,0.0001986257,0.0001998905,0.0004826523,0.0002246881,0.0003685045,0.0001899196,0.00006575124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001295179,"about_ca_system_score_gemma":0.00019351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001681545,"about_ca_topic_score_gemma":0.001800291,"domain_scores_codex":[0.9998533,0.00002097215,0.000008992423,0.00003811375,0.00004183503,0.00003687491],"domain_scores_gemma":[0.9997918,0.00007975702,0.00003891391,0.0000200695,0.00002788139,0.00004156495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001410818,0.0002186528,0.08734488,0.0001326837,0.00007646635,0.0005633435,0.0001990619,0.02090329,0.8772884,0.0001493512,0.0001041951,0.01160894],"study_design_scores_gemma":[0.00006595246,0.001532011,0.7817349,0.00001989869,0.0001224678,0.000349801,0.0005608566,0.05218339,0.1624736,0.0001952285,0.0007000602,0.00006175238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995339,0.0000165032,0.0002923737,0.000002115562,0.000001786958,0.000002410771,0.00002345846,0.000009539741,0.0001178596],"genre_scores_gemma":[0.9996338,0.00001975202,0.0002515215,0.000003242697,8.183029e-7,0.000002544796,0.000029138,0.000002338966,0.00005679961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001681545,"threshold_uncertainty_score":0.003343582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305290288457556,"score_gpt":0.3018390609794184,"score_spread":0.2787861580948428,"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."}}