{"id":"W2042448397","doi":"10.1139/l07-088","title":"\"Barbs\" for river bend bank protection: application of a three-dimensional numerical model","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbulence; Channel (broadcasting); Sediment; Sediment transport; Flow (mathematics); Geology; Geotechnical engineering; Computer simulation; Hydrology (agriculture); Fluvial; Mechanics; Environmental science; Mathematics; Geomorphology; Engineering; Geometry; Simulation; Physics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027588,0.00007109922,0.0001150644,0.00008206394,0.00004789979,0.00000254572,0.0001075398,0.00006326372,0.0001799636],"category_scores_gemma":[0.00002147008,0.00006956156,0.00005419487,0.0001223957,0.0000531176,0.0001252322,0.000003618188,0.0001196301,0.000002908638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000847679,"about_ca_system_score_gemma":0.00007641507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005112466,"about_ca_topic_score_gemma":0.03178244,"domain_scores_codex":[0.9993768,0.000002002057,0.0002322764,0.00008164464,0.000117245,0.0001900212],"domain_scores_gemma":[0.9995928,0.00002221301,0.00008033797,0.00005843395,0.00002540386,0.0002207775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002346996,0.00001131313,0.004517262,0.00001994693,0.00001747361,0.000008357428,0.0001231888,0.9888124,0.003727627,0.0001722942,0.00009100483,0.00247561],"study_design_scores_gemma":[0.0006012279,0.0001916129,0.03664375,0.00004306661,0.00005088632,0.00009818084,0.000006234321,0.9488025,0.004035274,0.00161681,0.007695429,0.0002150582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1512396,0.0001236873,0.8480939,0.000105535,0.0000753674,0.0001176694,0.000004728706,0.00000471891,0.0002348647],"genre_scores_gemma":[0.9958859,8.06403e-7,0.003997419,0.0000392602,0.00004825466,0.00000512758,0.000001404907,0.000008681714,0.00001313095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8446463,"threshold_uncertainty_score":0.985885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00885235325812319,"score_gpt":0.187516278392789,"score_spread":0.1786639251346658,"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."}}