{"id":"W2414157281","doi":"10.1139/cgj-2015-0598","title":"Semi-empirical elastic–thermoviscoplastic model for clay","year":2016,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Manitoba; KGS Group (Canada)","funders":"Ministère de l'Enseignement supérieur, de la Recherche et de l'Innovation","keywords":"Viscoplasticity; Creep; Geotechnical engineering; Plasticity; Shear (geology); Materials science; Compression (physics); Strain rate; Stress (linguistics); Effective stress; Shear stress; Constitutive equation; Geology; Composite material; Structural engineering; Finite element method; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003199781,0.0002714281,0.0002981172,0.0002562339,0.0001538698,0.00006151482,0.0004205945,0.0004283688,0.00008034196],"category_scores_gemma":[0.0004992527,0.0002028996,0.0002059383,0.0001730511,0.00005377062,0.0001158674,0.00002254425,0.0005933736,0.00007593111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005792195,"about_ca_system_score_gemma":0.0003467246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004444534,"about_ca_topic_score_gemma":0.0002939102,"domain_scores_codex":[0.9981705,0.00001474184,0.0004313048,0.0002291527,0.0002162765,0.0009380222],"domain_scores_gemma":[0.9979654,0.0002426596,0.0000335886,0.0002948251,0.00009504925,0.001368498],"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":[0.00001011864,0.000009721178,0.000003133084,0.00002244395,0.00003749647,0.00003814239,0.00001483852,0.9659491,0.003184173,0.001023112,0.01589046,0.01381731],"study_design_scores_gemma":[0.0005036886,0.00007895206,0.00002963366,0.0001126958,0.00002990596,0.0002389924,0.000002970152,0.9700446,0.0003083983,0.004745855,0.0235591,0.0003451957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009178664,0.0001495849,0.9878018,0.001339931,0.0006147212,0.0001700794,0.00007955592,0.0004380033,0.0002276939],"genre_scores_gemma":[0.9968987,0.00008417036,0.001962908,0.0002618008,0.0003185438,0.00003776309,0.000002389297,0.00009637867,0.0003373903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.98772,"threshold_uncertainty_score":0.8274007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659901604242221,"score_gpt":0.2196604863257621,"score_spread":0.2030614702833399,"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."}}