{"id":"W4385981019","doi":"10.1051/e3sconf/202341506014","title":"The Cheekeye Debris-Flow Barrier – unique features of a proposed open check dam in Canada","year":2023,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Debris flow; Crest; Debris; Dam break; Flow (mathematics); Event (particle physics); Geology; Civil engineering; Environmental science; Geotechnical engineering; Forensic engineering; Hydrology (agriculture); Geography; Engineering; Meteorology; Flood myth; Archaeology; Physics; Mechanics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001121951,0.0001713173,0.0001499004,0.0004421491,0.003071758,0.001141161,0.0006158791,0.0004915738,0.00300387],"category_scores_gemma":[0.0003058533,0.0001531863,0.0001876108,0.0006610577,0.001079019,0.0001950029,0.0007349664,0.0003653158,0.0002243479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01053425,"about_ca_system_score_gemma":0.02955055,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9384987,"about_ca_topic_score_gemma":0.9915133,"domain_scores_codex":[0.9997607,0.000007413293,0.000003802819,0.00002520684,0.000103568,0.0000993209],"domain_scores_gemma":[0.9998337,0.000007489889,0.000008438199,0.000007523751,0.0000705746,0.00007222921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001364839,0.0005327565,0.4620781,0.0007298645,0.0001181425,0.01652942,0.009814388,0.08894634,0.1333797,0.05286773,0.03348267,0.2001561],"study_design_scores_gemma":[0.000126428,0.0005779042,0.7405285,0.0001983821,0.00011327,0.003203269,0.02069859,0.03665102,0.01780496,0.002488947,0.1773879,0.0002208791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421636,0.000165029,0.002750489,0.0004589579,0.00003379748,0.0001516805,0.001090398,0.000091508,0.05309451],"genre_scores_gemma":[0.9870554,0.0001016543,0.002279061,0.00002965769,0.00000181496,0.00002101349,0.0002194297,0.00001075099,0.01028121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06150132,"threshold_uncertainty_score":0.123727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055720953162829,"score_gpt":0.2300123787094378,"score_spread":0.2194551691778095,"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."}}