{"id":"W2983343203","doi":"10.1007/978-3-030-22818-7_30","title":"Application of a SANISAND Model for Numerical Simulations of the LEAP 2017 Experiments","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Centrifuge; Constitutive equation; Sensitivity (control systems); Computer simulation; Permeability (electromagnetism); Finite element method; Geotechnical engineering; Computer science; Engineering; Structural engineering; Simulation; Physics; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005303798,0.0005356721,0.0005754283,0.0004247301,0.0006181546,0.001060866,0.001485461,0.00124238,0.003671899],"category_scores_gemma":[0.0008964972,0.0004965575,0.0006019707,0.0005753203,0.0004906981,0.0006904622,0.0005028707,0.001359596,0.0008716256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117277,"about_ca_system_score_gemma":0.001121319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109386,"about_ca_topic_score_gemma":0.009449987,"domain_scores_codex":[0.9997775,0.00004459289,0.00001329975,0.00003177199,0.0001123004,0.00002057983],"domain_scores_gemma":[0.9996202,0.0001479102,0.00002569735,0.00005652503,0.0001365338,0.0000130048],"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":[0.00002202363,0.00003817024,0.0004543893,0.00003732377,0.000008694186,0.00004065088,0.00004885854,0.9842664,0.003216543,0.006322221,0.000794074,0.004750667],"study_design_scores_gemma":[0.000003559099,0.000006580662,0.00009388221,0.000005977698,0.000001939553,0.00000691626,0.000007529333,0.9964228,0.0006874552,0.0005548192,0.002204093,0.00000446279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1873565,0.0005105603,0.6811024,0.0007530733,0.0002876274,0.0004717815,0.002899611,0.002617981,0.1240005],"genre_scores_gemma":[0.6674044,0.000756967,0.2873105,0.0002059415,0.00004433918,0.001243804,0.002386516,0.0007102429,0.03993727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01109386,"threshold_uncertainty_score":0.02205855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02486286647526064,"score_gpt":0.2425216891122363,"score_spread":0.2176588226369756,"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."}}