{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001849105,0.001096015,0.000641021,0.001763901,0.0004625022,0.002276703,0.003215834,0.0007314298,0.0343724],"category_scores_gemma":[0.00909989,0.0009666134,0.0007553102,0.001733509,0.0006162505,0.003383656,0.002752001,0.0009462283,0.01758629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155837,"about_ca_system_score_gemma":0.001563984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006560932,"about_ca_topic_score_gemma":0.006545392,"domain_scores_codex":[0.9983224,0.0001442886,0.0002005514,0.0002527966,0.0009708343,0.0001090678],"domain_scores_gemma":[0.9965341,0.0005992099,0.0002501566,0.001209108,0.001265076,0.0001423717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001336392,0.000285569,0.02882903,0.00149703,0.00008234638,0.0004543578,0.0007081685,0.04638926,0.01708835,0.05919704,0.2155953,0.6285372],"study_design_scores_gemma":[0.0001232588,0.0001395483,0.006948355,0.0004130257,0.0000613134,0.0008663163,0.0002323924,0.09137244,0.02608543,0.01916771,0.8544538,0.0001363508],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04806649,0.001034332,0.4973833,0.0009942917,0.0006230618,0.0009932232,0.06818394,0.1846031,0.1981183],"genre_scores_gemma":[0.3251273,0.002071508,0.3838336,0.0005614327,0.0001763969,0.001440409,0.1625125,0.03190367,0.09237315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0343724,"threshold_uncertainty_score":0.1149871,"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."}}