{"id":"W2121777977","doi":"10.1260/2041-4196.3.2.221","title":"Numerical Modeling of the Impact with Structures of Tsunami Bores Propagating on Dry and Wet Beds Using the SPH Method","year":2012,"lang":"en","type":"article","venue":"International Journal of Protective Structures","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Smoothed-particle hydrodynamics; Computer simulation; Numerical models; Elevation (ballistics); Geology; Numerical analysis; Mechanics; Numerical modeling; Geotechnical engineering; Field (mathematics); Structural engineering; Engineering; Physics; Mathematics; Geophysics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002016129,0.0001282068,0.0001730692,0.0001373935,0.00007450414,0.00002936995,0.0002208594,0.00004249102,0.00001836704],"category_scores_gemma":[0.0001480265,0.00006183652,0.000106222,0.0001140231,0.00006640401,0.000232955,0.00003309178,0.0003751661,2.883674e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001099604,"about_ca_system_score_gemma":0.00004143065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001559035,"about_ca_topic_score_gemma":0.000005626951,"domain_scores_codex":[0.9990404,0.00008596273,0.0003348767,0.00006155164,0.0003662154,0.0001110125],"domain_scores_gemma":[0.9990582,0.000132151,0.0002797685,0.0001037779,0.0003922331,0.00003389264],"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":[0.00009823068,0.0000118089,0.003938338,0.00001087806,0.0003324819,4.22409e-7,0.0007987737,0.9732939,0.01821896,0.001818419,0.000002307006,0.001475503],"study_design_scores_gemma":[0.000244833,0.0001017717,0.03832944,0.000114794,0.00003681261,0.0001266729,0.0003459461,0.9357374,0.01917711,0.005706259,0.000002607026,0.00007632333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7551987,0.0001104157,0.2441214,0.00004046815,0.0002548925,0.0001401067,0.00002089256,0.000004885931,0.0001081457],"genre_scores_gemma":[0.9834364,0.000003699159,0.01634058,0.000009621083,0.0001892907,0.000002030585,5.48492e-7,0.00001683891,0.000001002535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2282376,"threshold_uncertainty_score":0.252162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149520018057486,"score_gpt":0.3174310252847634,"score_spread":0.3024790234790147,"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."}}