{"id":"W2891834028","doi":"10.1051/e3sconf/20184003021","title":"Scouring due to submerged sills","year":2018,"lang":"en","type":"article","venue":"E3S Web of Conferences","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":"Mitacs","keywords":"Sill; Riprap; Flume; Geology; Flow (mathematics); Channel (broadcasting); Geotechnical engineering; Open-channel flow; Sediment; Range (aeronautics); Hydrology (agriculture); Mechanics; Engineering; Geomorphology; Petrology","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":[0.0001770354,0.0004098739,0.0004232607,0.0003479717,0.0003223034,0.0005031286,0.0002425108,0.0004435416,0.001337141],"category_scores_gemma":[0.000393158,0.0001930986,0.0004058058,0.0002258104,0.0006588243,0.0003475235,0.0008120427,0.0004628647,0.000177043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003949843,"about_ca_system_score_gemma":0.0003028403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003360353,"about_ca_topic_score_gemma":0.004662584,"domain_scores_codex":[0.9998121,0.00001315378,0.000009701748,0.00003569729,0.00005971556,0.00006971735],"domain_scores_gemma":[0.9996573,0.00007468302,0.00009793576,0.00005085397,0.00004276567,0.00007649251],"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":[0.0004188132,0.00007545917,0.008516667,0.0001029567,0.00002518194,0.0007507081,0.0001800449,0.01046142,0.9735361,0.00009959898,0.00005991092,0.005773047],"study_design_scores_gemma":[0.00009667171,0.004290974,0.1188745,0.0000346209,0.00006174999,0.0004577176,0.0007202619,0.04604246,0.8280213,0.0003000277,0.001033254,0.00006644726],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989352,0.00004402519,0.0005524506,0.000007047914,0.000004482696,0.000008321945,0.00003495633,0.00003065932,0.0003828855],"genre_scores_gemma":[0.9991701,0.00004797655,0.0003143354,0.000007907096,0.000001799998,0.000004700144,0.00003551499,0.000004399552,0.0004132744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003360353,"threshold_uncertainty_score":0.006681621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390933631261693,"score_gpt":0.2371134581496659,"score_spread":0.223204121837049,"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."}}