{"id":"W7124920188","doi":"10.5281/zenodo.18315536","title":"Mapping of an Urban Flood Caused by a Dam Break Using SPH Method Based on LiDAR Data","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Flood myth; Smoothed-particle hydrodynamics; Lidar; Flooding (psychology); Grid; Eulerian path; Boundary (topology); Code (set theory); Flow (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001600669,0.0004801407,0.000325768,0.001306546,0.0002699294,0.00054873,0.000387266,0.0004351804,0.001543912],"category_scores_gemma":[0.0004565511,0.0001729613,0.000496589,0.0009140923,0.0001853825,0.0003328301,0.0004871747,0.0002767805,0.0003094707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001853934,"about_ca_system_score_gemma":0.0005642196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006084093,"about_ca_topic_score_gemma":0.003817236,"domain_scores_codex":[0.9999067,0.000009705082,0.000006686898,0.00001957896,0.00003868329,0.00001857505],"domain_scores_gemma":[0.999878,0.00003673724,0.00001673972,0.00001140248,0.00003702298,0.00002002007],"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":[0.0003677884,0.0003266423,0.06795183,0.0004656247,0.0001187491,0.003361364,0.001076377,0.6530587,0.06123156,0.003337678,0.008526543,0.2001771],"study_design_scores_gemma":[0.00001898431,0.00002422898,0.009257258,0.00001478663,0.00001335331,0.0001054046,0.0001785968,0.9835964,0.00486718,0.0004594917,0.001440274,0.00002405001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8229234,0.0003344343,0.1607055,0.0003788109,0.0001555961,0.000183775,0.00251152,0.003840504,0.00896641],"genre_scores_gemma":[0.9452151,0.0001718881,0.05206207,0.00002663829,0.00002354716,0.00006738263,0.001202841,0.00007167496,0.001158873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006084093,"threshold_uncertainty_score":0.01209736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04557165161881409,"score_gpt":0.2870851276182636,"score_spread":0.2415134759994495,"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."}}