{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000176698,0.00008333678,0.0001390314,0.00003189624,0.00007878986,0.000007592326,0.0002483162,0.00004834265,0.01586041],"category_scores_gemma":[0.00002298206,0.00006958373,0.00002405969,0.000153412,0.0003369061,0.0001129988,0.00004091851,0.00005049459,0.0007076313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006341648,"about_ca_system_score_gemma":0.00006308845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001853258,"about_ca_topic_score_gemma":0.0008091326,"domain_scores_codex":[0.9992624,0.0000178935,0.0001606785,0.0001908954,0.0001787724,0.0001893877],"domain_scores_gemma":[0.9997212,0.00002072758,0.00004396872,0.0001204724,0.00001473828,0.00007890082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001063889,0.0001470526,0.8984045,0.00002475166,0.0000392014,0.00001733199,0.001636879,0.0001792155,0.0776792,0.003327005,0.00307547,0.01536295],"study_design_scores_gemma":[0.000429578,0.0006264145,0.4416669,0.00005908867,0.00003112117,0.000005888461,0.0001852394,0.0003291784,0.401594,0.002489238,0.1522071,0.0003762124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8534445,0.00002027516,0.0002921826,0.0004146922,0.0001296595,0.0000697314,0.000002191998,0.00002361663,0.1456032],"genre_scores_gemma":[0.9987827,0.000008707987,0.0003500738,0.0002375839,0.00005250764,0.000006553971,0.000001459856,0.000003608309,0.0005568153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4567376,"threshold_uncertainty_score":0.9850392,"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."}}