{"id":"W2471082026","doi":"10.1680/jgeot.15.p.271","title":"SANISAND-Z: zero elastic range sand plasticity model","year":2016,"lang":"en","type":"article","venue":"Géotechnique","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":186,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Plasticity; Stress space; Yield surface; Mechanics; Plane stress; Hardening (computing); Stress (linguistics); Stress path; Constitutive equation; Geotechnical engineering; Materials science; Geometry; Structural engineering; Mathematics; Geology; Physics; Engineering; Finite element method; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001578113,0.0005280345,0.0007724083,0.0005419297,0.0004662639,0.001388675,0.002218114,0.001228671,0.003656277],"category_scores_gemma":[0.00042316,0.0003652773,0.0007372216,0.0005796968,0.0008383013,0.001179517,0.0009125216,0.0009791828,0.00113315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000688116,"about_ca_system_score_gemma":0.0008256134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005810019,"about_ca_topic_score_gemma":0.00396871,"domain_scores_codex":[0.9998627,0.00001926347,0.000006365045,0.00002995851,0.00005868495,0.00002308178],"domain_scores_gemma":[0.9999105,0.00001865073,0.00001591777,0.00001550911,0.00002835839,0.00001107055],"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":[0.00005306843,0.00003911021,0.0006652551,0.00006759778,0.00002633906,0.0002640356,0.00007369678,0.8597445,0.004660668,0.1192295,0.001759966,0.0134161],"study_design_scores_gemma":[0.000006977546,0.00001095702,0.0001294177,0.000005181366,0.000005466427,0.00005553425,0.000007526452,0.9852169,0.0006272068,0.01078218,0.003144901,0.000007902819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0927837,0.001023956,0.7918555,0.000706999,0.0001430387,0.000131776,0.00133339,0.001194145,0.1108275],"genre_scores_gemma":[0.872238,0.0009000892,0.06313708,0.0001185792,0.00005047307,0.0002619019,0.001007913,0.0001746469,0.06211137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005810019,"threshold_uncertainty_score":0.01223141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009406741999359189,"score_gpt":0.1912316495105214,"score_spread":0.1818249075111621,"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."}}