{"id":"W2063923473","doi":"10.2495/safe-v1-n4-403-422","title":"Numerical modelling of catastrophic events produced by mud or debris flows","year":2011,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Debris; Geology; Debris flow; Landslide; Numerical models; Population; Geotechnical engineering; Computer simulation; Numerical modeling; Hazard; Dam break; Hydrology (agriculture); Computer science; Geography; Archaeology; Oceanography; Simulation; Geophysics","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":[0.0002578648,0.0006829209,0.0005315137,0.0005990912,0.0004489644,0.000988896,0.0007266406,0.001221299,0.001560354],"category_scores_gemma":[0.001035952,0.000288476,0.0005254073,0.0004546463,0.0008352586,0.0004658406,0.0007776216,0.0005511643,0.0001987241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000503179,"about_ca_system_score_gemma":0.0005340142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007261712,"about_ca_topic_score_gemma":0.003085012,"domain_scores_codex":[0.9998641,0.00003788214,0.00001151591,0.0000209213,0.0000369992,0.00002854467],"domain_scores_gemma":[0.9996457,0.0001440716,0.00008847083,0.0000190596,0.00006738753,0.0000354508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001564376,0.00001462317,0.0008531807,0.000022494,0.000009265043,0.0001367363,0.00002913506,0.9939825,0.001310101,0.00193368,0.0001493935,0.001543214],"study_design_scores_gemma":[0.000002923529,0.000008863744,0.0001893987,0.000003504931,0.000002307184,0.00001210776,0.00001078879,0.9989333,0.0001475622,0.0004643401,0.0002219453,0.000003090496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5467766,0.001587829,0.4101727,0.0006976625,0.0004078935,0.0001651401,0.0006582087,0.0007965873,0.03873738],"genre_scores_gemma":[0.980701,0.0005195264,0.01307528,0.0000395241,0.0000445537,0.00009265257,0.0001613067,0.0000392298,0.005326987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007261712,"threshold_uncertainty_score":0.01443893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108515221323228,"score_gpt":0.1978916338840832,"score_spread":0.1870401117517604,"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."}}