{"id":"W4210555270","doi":"10.1007/s10346-021-01807-1","title":"Smoothed Particle Hydrodynamics for modelling landslide–water interaction problems","year":2022,"lang":"en","type":"article","venue":"Landslides","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Landslide; Smoothed-particle hydrodynamics; Constitutive equation; Mechanics; Rheology; Submarine landslide; Compressibility; Particle (ecology); Non-Newtonian fluid; Geology; Geotechnical engineering; Physics; Finite element method; Thermodynamics","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":[0.0004389418,0.0006638457,0.001003334,0.000796766,0.0006495908,0.001055091,0.001196971,0.001634768,0.001605947],"category_scores_gemma":[0.001935683,0.0005969384,0.0007418564,0.000848736,0.001313281,0.0009357531,0.0009966253,0.001173309,0.0003024138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009015997,"about_ca_system_score_gemma":0.001437378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01979016,"about_ca_topic_score_gemma":0.009584905,"domain_scores_codex":[0.9997934,0.00007909196,0.00001156952,0.00002234984,0.0000674165,0.00002619845],"domain_scores_gemma":[0.9993142,0.000317105,0.00008121647,0.000053533,0.0001584081,0.00007543743],"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":[0.00002172784,0.00003107704,0.0003887801,0.00002102796,0.00002350521,0.00004264064,0.00003078117,0.9822359,0.00146131,0.01233628,0.0003944759,0.003012636],"study_design_scores_gemma":[0.000003361182,0.000002839278,0.00004203504,7.905592e-7,0.000001194873,0.000001926136,0.000002449513,0.9981958,0.00007934521,0.001482776,0.0001855078,0.000001960602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.117423,0.0006759766,0.8742648,0.0003901174,0.0002829731,0.00007360922,0.0001806217,0.0006648736,0.006044064],"genre_scores_gemma":[0.9081343,0.0005044086,0.08146366,0.0001195634,0.0001662193,0.0001790144,0.0002861971,0.0002840542,0.008862621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01979016,"threshold_uncertainty_score":0.03934997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846531017149522,"score_gpt":0.2234566698709718,"score_spread":0.2049913596994766,"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."}}