{"id":"W2923937436","doi":"10.1139/cgj-2018-0653","title":"Hydromechanical modeling of granular soils considering internal erosion","year":2019,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internal erosion; Geotechnical engineering; Nonlinear system; Mechanics; Soil water; Erosion; Constitutive equation; Geology; Stress (linguistics); Deformation (meteorology); Effective stress; Materials science; Engineering; Soil science; Structural engineering; Physics; Finite element method; Composite material","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":[0.0001511187,0.0004134722,0.0004048883,0.0003686882,0.0002711313,0.0008213198,0.0007147943,0.0009187979,0.0006871252],"category_scores_gemma":[0.0004331948,0.0002082501,0.0003836793,0.0003391922,0.0008934337,0.0006376167,0.0005833905,0.0003172398,0.0001206363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005008336,"about_ca_system_score_gemma":0.0005066973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006816674,"about_ca_topic_score_gemma":0.004478699,"domain_scores_codex":[0.9999055,0.00001821866,0.000006382544,0.00002076719,0.00002840253,0.00002068218],"domain_scores_gemma":[0.9998959,0.00002835386,0.00002656942,0.00001824296,0.00001835875,0.00001252223],"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":[0.00001167769,0.00002309954,0.0009580915,0.00002339583,0.000007827194,0.0001266157,0.00003900913,0.9843571,0.004794276,0.006951424,0.00005012254,0.002657405],"study_design_scores_gemma":[0.000003059994,0.00001061912,0.0003912914,0.000002058668,0.000002058325,0.00001654337,0.00001315059,0.9981939,0.0002295045,0.0009855329,0.0001496709,0.000002746516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5908907,0.000359926,0.3938001,0.0002591713,0.00005720181,0.0000804978,0.0002047398,0.0002627721,0.01408502],"genre_scores_gemma":[0.9915251,0.0001403213,0.006405498,0.00001614692,0.00001031957,0.00002501219,0.00004351002,0.00001375894,0.00182028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006816674,"threshold_uncertainty_score":0.01355404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008970312715743564,"score_gpt":0.1861655063230729,"score_spread":0.1771951936073293,"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."}}