{"id":"W2766619650","doi":"10.1139/cgj-2017-0211","title":"A hands-on approach to estimate debris flow velocity for rational mitigation of debris hazard","year":2017,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Debris flow; Debris; Flume; Geology; RADIUS; Flow (mathematics); Mechanics; Elevation (ballistics); Channel (broadcasting); Laminar flow; Geotechnical engineering; Mathematics; Computer science; Geometry; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007693982,0.001035347,0.0007190378,0.001660357,0.0008556813,0.000907385,0.001100738,0.000835251,0.00328465],"category_scores_gemma":[0.002899662,0.0004849512,0.0004654439,0.0005960728,0.0005418202,0.001183752,0.001322847,0.000798154,0.0008201114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003922305,"about_ca_system_score_gemma":0.00154109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005977527,"about_ca_topic_score_gemma":0.007215722,"domain_scores_codex":[0.9993929,0.0001309484,0.00004673364,0.0001389857,0.0002354793,0.00005496196],"domain_scores_gemma":[0.9992496,0.0002561574,0.0001076215,0.00008562648,0.0002618337,0.0000391495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001799798,0.000270163,0.01229114,0.0004075987,0.00008019002,0.0003167016,0.0009230709,0.1794231,0.09903645,0.01248302,0.002109658,0.692479],"study_design_scores_gemma":[0.00003826866,0.0002612369,0.006394833,0.00006250499,0.00005651817,0.0002367135,0.0004743891,0.9502911,0.02932875,0.008605841,0.004122842,0.0001270309],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01355544,0.00005444917,0.9838198,0.00004827855,0.00001372759,0.0000788529,0.0000245475,0.0005926688,0.001812137],"genre_scores_gemma":[0.3286375,0.000201978,0.6682951,0.0000549931,0.00003299887,0.0002162222,0.0001038163,0.0001081914,0.002349131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005977527,"threshold_uncertainty_score":0.01188552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145392846687849,"score_gpt":0.2528080086360537,"score_spread":0.2382687239672688,"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."}}