{"id":"W2068177419","doi":"10.1139/t09-087","title":"Predicting the long-term performance of a wide embankment on soft soil using an elastic–viscoplastic model","year":2010,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consolidation (business); Geotechnical engineering; Creep; Viscoplasticity; Levee; Finite element method; Permeability (electromagnetism); Pore water pressure; Constitutive equation; Geology; Settlement (finance); Structural engineering; Materials science; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003607317,0.0006797992,0.0003911624,0.000401756,0.0003044739,0.0005939127,0.0006141933,0.0009246895,0.0008155594],"category_scores_gemma":[0.0007209339,0.0003283575,0.0004030425,0.0003843262,0.0004643049,0.0006233132,0.0003506488,0.0003925073,0.0002761313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007196149,"about_ca_system_score_gemma":0.000622801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01478477,"about_ca_topic_score_gemma":0.01693124,"domain_scores_codex":[0.9998879,0.00002240005,0.000008323609,0.00002647491,0.00002394989,0.00003087192],"domain_scores_gemma":[0.9997658,0.00008309598,0.0000487383,0.00002639283,0.00003907026,0.00003690778],"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":[0.00003710133,0.00003842433,0.005377239,0.000008875749,0.00001082933,0.00009298215,0.00001905585,0.9857244,0.005814731,0.0001350755,0.00002664817,0.002714565],"study_design_scores_gemma":[0.000002973084,0.00005246374,0.003504966,0.000001605006,0.000004723471,0.00001325509,0.0000169347,0.9952027,0.001107567,0.00005331316,0.00003497817,0.000004589708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906971,0.00003698252,0.008480631,0.0000216656,0.000002766593,0.00000907619,0.00005276325,0.00004959187,0.0006495214],"genre_scores_gemma":[0.9987292,0.00002770729,0.0008675453,0.000001834722,9.836324e-7,0.000006315966,0.00004264825,0.000005303751,0.0003185252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01478477,"threshold_uncertainty_score":0.02939737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143796237202306,"score_gpt":0.2021885709187462,"score_spread":0.1907506085467232,"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."}}