{"id":"W2317852005","doi":"10.1061/40771(169)9","title":"NorSand: Features, Calibration and Use","year":2005,"lang":"en","type":"article","venue":"","topic":"Soil, Finite Element Methods","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geomechanics; Computer science; Plane stress; Hardening (computing); Finite element method; Calibration; Source code; Geotechnical engineering; Algorithm; Structural engineering; Geology; Engineering; Mathematics; Statistics; Materials science; Programming language","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":[0.00005488981,0.0000540865,0.00004537555,0.00003566912,0.00001414415,0.00004616745,0.00003084059,0.00003553696,0.00005913484],"category_scores_gemma":[0.00001593577,0.00004957744,0.000008552075,0.00005017078,0.000004063425,0.0002894789,0.00001114754,0.00005090742,0.000006073197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001233777,"about_ca_system_score_gemma":0.000001730289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009075145,"about_ca_topic_score_gemma":0.00004863194,"domain_scores_codex":[0.9997364,0.00001113188,0.00006234792,0.0000611174,0.00004668022,0.00008230592],"domain_scores_gemma":[0.9998048,0.00006248451,0.000004207904,0.00009191669,0.000004211553,0.00003238329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001760007,0.00006323522,0.03424522,0.0001126845,0.0001611563,0.00001130746,0.001831105,0.04199486,0.03495757,0.04438615,0.2207536,0.6214655],"study_design_scores_gemma":[0.0009747659,0.00003598041,0.05805668,0.00001361623,0.00002205203,0.00001960874,0.00004198787,0.4888871,0.08821289,0.0004655987,0.3627374,0.0005322545],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5452625,0.001001584,0.4273039,0.001045493,0.0004136105,0.0002591207,0.000006153613,0.001585556,0.02312214],"genre_scores_gemma":[0.6333517,0.00013477,0.3638307,0.000361615,0.0001890273,0.000007585536,0.00001017758,0.00002247259,0.002091984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6209332,"threshold_uncertainty_score":0.2021709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598235955582655,"score_gpt":0.24573311757462,"score_spread":0.2297507580187935,"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."}}