{"id":"W2047356127","doi":"10.1007/s11069-011-9954-x","title":"A corrected 3-D SPH method for breaking tsunami wave modelling","year":2011,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Smoothed-particle hydrodynamics; Breaking wave; Turbulence; Closure (psychology); Large eddy simulation; Vorticity; Detached eddy simulation; Physics; Computational fluid dynamics; Mechanics; Vortex; Classical mechanics; Computer science; Statistical physics; Wave propagation; Optics; Reynolds-averaged Navier–Stokes equations","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":[0.0002739454,0.0004885903,0.0006229203,0.0004599442,0.0004929148,0.0006836349,0.001865357,0.001196999,0.004506228],"category_scores_gemma":[0.001329335,0.0004236866,0.0005369904,0.0005949629,0.0003918693,0.0005644328,0.0009361895,0.0009178604,0.001179443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004388636,"about_ca_system_score_gemma":0.001102205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01340894,"about_ca_topic_score_gemma":0.007571363,"domain_scores_codex":[0.9998386,0.00003054609,0.00001036666,0.00001479663,0.0000862723,0.00001942913],"domain_scores_gemma":[0.999541,0.0001126876,0.00003081938,0.0000771037,0.0001825305,0.0000558257],"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":[0.0001456837,0.00007895377,0.001331385,0.00008387802,0.00005179781,0.0002692346,0.00008858777,0.9034467,0.0131991,0.009094823,0.003277009,0.06893284],"study_design_scores_gemma":[0.00001243961,0.000007265199,0.000119622,0.000002646282,0.000002988498,0.00001521615,0.000004633658,0.9977784,0.0006381458,0.0004592985,0.0009524766,0.00000701101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03858161,0.0002005424,0.9493883,0.0002483283,0.0003731425,0.000114895,0.0003913757,0.001910637,0.008791197],"genre_scores_gemma":[0.6771851,0.0003499194,0.3092196,0.0002287363,0.0001734256,0.0002434287,0.0005721919,0.000761507,0.01126611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01340894,"threshold_uncertainty_score":0.02666175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941534056935675,"score_gpt":0.2647585574551943,"score_spread":0.2353432168858376,"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."}}