{"id":"W3153618391","doi":"10.5194/egusphere-egu21-6889","title":"Effect of stress history on sediment transport and channel adjustment in graded gravel-bed rivers","year":2021,"lang":"en","type":"article","venue":"","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Flume; Flood myth; Hydrology (agriculture); Beach morphodynamics; Sediment; Sediment transport; Siltation; Hydrograph; Channel (broadcasting); Environmental science; Flow (mathematics); Geology; Geotechnical engineering; Geomorphology; Geography; Engineering","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":[0.0001258452,0.0001148221,0.0001421545,0.0001317778,0.0001579821,0.0002316111,0.0001037074,0.0001261654,0.0008763453],"category_scores_gemma":[0.000267248,0.00008708761,0.0001350711,0.00007279281,0.0002795452,0.0001554741,0.0002044617,0.0001988503,0.00004921429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002103852,"about_ca_system_score_gemma":0.0001027081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002090203,"about_ca_topic_score_gemma":0.003255252,"domain_scores_codex":[0.9999545,0.00001105229,0.000004233073,0.00001014529,0.000007799495,0.00001230858],"domain_scores_gemma":[0.9998629,0.00003914559,0.00003062348,0.00001321561,0.00001000207,0.00004411472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001641453,0.000324998,0.03805048,0.00007683947,0.00004313133,0.0003200954,0.0003114371,0.003711118,0.9424956,0.0001412343,0.00007718783,0.01280638],"study_design_scores_gemma":[0.00004401363,0.004134892,0.8699222,0.0000104781,0.0000383834,0.0001711744,0.0003404103,0.006694529,0.1178717,0.0001682935,0.0005702795,0.00003360565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999744,0.00003755939,0.00007210319,0.000003194829,0.000001192591,0.000002122289,0.00001249473,0.000002348747,0.0001249882],"genre_scores_gemma":[0.9997038,0.00002935739,0.00007391041,0.000007011943,9.638135e-7,0.000003329312,0.00002869566,9.833536e-7,0.0001519753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002090203,"threshold_uncertainty_score":0.004156113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007541158236162772,"score_gpt":0.2022529988666961,"score_spread":0.1947118406305333,"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."}}