{"id":"W2064019219","doi":"10.1139/t06-060","title":"Implementation of the tangent modulus – vertical stress (<i>E</i><sub>t</sub>–σ<sub>v</sub>) model for flexible pavements analysis","year":2006,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tangent; Finite element method; Deflection (physics); Tangent modulus; Modulus; Granular material; Geotechnical engineering; Constitutive equation; Stress (linguistics); Structural engineering; Solver; Nonlinear system; Test data; Elastic modulus; Geology; Materials science; Mathematics; Engineering; Geometry; Physics; Composite material; Classical mechanics; Mathematical optimization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0003023317,0.0005660664,0.0003116695,0.0003005413,0.0003608356,0.0003658332,0.00159276,0.0005492372,0.005480031],"category_scores_gemma":[0.000630627,0.000233529,0.0003733672,0.0002437687,0.0002979241,0.0003472412,0.0002795457,0.0005497265,0.0009584333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070757,"about_ca_system_score_gemma":0.001926642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04397145,"about_ca_topic_score_gemma":0.07960305,"domain_scores_codex":[0.9998673,0.00001541537,0.00001011944,0.00001843577,0.0000686776,0.00002000674],"domain_scores_gemma":[0.9997022,0.00006266568,0.00001699917,0.00006585633,0.000138089,0.00001410449],"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":[0.0001660455,0.0003723042,0.01267732,0.0003074685,0.00008348664,0.000397908,0.0003446487,0.7087549,0.09937839,0.01501126,0.004756404,0.1577499],"study_design_scores_gemma":[0.00002287846,0.00007683248,0.001733288,0.000009101404,0.00001123726,0.00008105436,0.00002313667,0.9740978,0.01734892,0.000723939,0.005854737,0.00001703608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1137139,0.00007185234,0.8659828,0.000110751,0.00006110504,0.0004227461,0.001025723,0.005163558,0.01344762],"genre_scores_gemma":[0.593153,0.0001491109,0.3937888,0.00005517699,0.000009439545,0.0004486337,0.001001489,0.0003697172,0.01102462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04397145,"threshold_uncertainty_score":0.08743101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422752408689736,"score_gpt":0.2486302791475051,"score_spread":0.2344027550606078,"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."}}