{"id":"W4240517327","doi":"10.1002/9781118451410.ch3","title":"Water and Sediment in Large Rivers","year":2020,"lang":"en","type":"other","venue":"","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hydrology (agriculture); Sediment; Environmental science; Drainage basin; Precipitation; Fluvial; Geology; Discharge; Sediment transport; Landform; Geomorphology; Structural basin; Geotechnical engineering; Meteorology","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":[0.000156441,0.000256543,0.000238892,0.000983033,0.0005935825,0.001568346,0.0002648129,0.0004881886,0.006880965],"category_scores_gemma":[0.0004935363,0.0001882289,0.0002541489,0.002249206,0.0008800099,0.001183828,0.0007804716,0.0003742989,0.0008421788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009298101,"about_ca_system_score_gemma":0.0007033109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008396172,"about_ca_topic_score_gemma":0.00917918,"domain_scores_codex":[0.9998618,0.00003367558,0.0000139566,0.00003112618,0.00004379969,0.00001569116],"domain_scores_gemma":[0.9998814,0.00005139334,0.00002237264,0.00000667556,0.00002607861,0.00001202592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009104959,0.00006681512,0.02125921,0.001142275,0.00004270442,0.002287062,0.002297912,0.03496089,0.005851541,0.5970593,0.0281227,0.3068185],"study_design_scores_gemma":[0.00002508209,0.0001027037,0.03518951,0.0005435128,0.00005641307,0.001040888,0.002835284,0.01476914,0.002781289,0.3420533,0.6005222,0.00008062078],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2620775,0.1473023,0.09072057,0.009322747,0.001390075,0.0001679958,0.002667974,0.0007960951,0.4855548],"genre_scores_gemma":[0.8063221,0.06592609,0.02300226,0.0006539413,0.0005757483,0.00006255511,0.001041224,0.0002400335,0.1021761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008396172,"threshold_uncertainty_score":0.02301913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009866528784593065,"score_gpt":0.1866922551162902,"score_spread":0.1768257263316971,"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."}}