{"id":"W4398202930","doi":"10.1088/1755-1315/1335/1/012001","title":"Application of material point method in modeling soil-geosynthetics interactions-a literature survey","year":2024,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Geosynthetics; Material point method; Point (geometry); Soil survey; Environmental science; Computer science; Geotechnical engineering; Engineering; Soil science; Mathematics; Soil water; Structural engineering","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":[0.0002010424,0.00008880987,0.00008735225,0.0001401693,0.00006121412,0.0001416532,0.00008010391,0.00003026672,0.00005842379],"category_scores_gemma":[0.000009923348,0.00008520722,0.00001600363,0.0002366562,0.0001066196,0.0007417432,0.00004124751,0.0001123937,0.000005483412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000350972,"about_ca_system_score_gemma":0.00001531997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001422065,"about_ca_topic_score_gemma":0.0002475637,"domain_scores_codex":[0.9993895,0.00001807208,0.0001766482,0.0001810708,0.0001022568,0.00013244],"domain_scores_gemma":[0.9997882,0.0000295647,0.00001197928,0.0001143207,0.00001066146,0.00004531952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001522571,0.00001894884,0.0003336055,0.00004266514,0.000005447865,0.000001338008,0.0009321039,0.3338735,0.6450177,0.002452637,0.000001853748,0.01730504],"study_design_scores_gemma":[0.00002986469,0.00001781875,0.00459892,0.00004739919,0.00000247581,0.00001461331,0.0001798444,0.9655177,0.02914474,0.0002239807,0.0001387367,0.00008393081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932577,0.0001010511,0.06629047,0.00002607407,0.0002683716,0.00008243728,0.0001777815,0.00003502151,0.0004418195],"genre_scores_gemma":[0.9970885,0.0002600363,0.002507122,0.000003790051,0.00001281535,0.000008651266,0.00006341874,0.000007202469,0.00004847007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6316442,"threshold_uncertainty_score":0.3474649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101188399270148,"score_gpt":0.2357924107326193,"score_spread":0.2256735708056045,"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."}}