{"id":"W3173920859","doi":"10.1177/0361198121997837","title":"Critical State Model of Sand-Tire Derived Aggregate Mixtures Based on Triaxial Tests","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Geotechnical engineering; Materials science; Aggregate (composite); Plasticity; Triaxial shear test; Friction angle; Creep; Critical state soil mechanics; Displacement (psychology); Reinforcement; Shear (geology); Composite material; Structural engineering; Geology; Engineering; Constitutive equation; Finite element method","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":[0.0003236354,0.0004618453,0.0002809102,0.0008084141,0.0001888522,0.0005154109,0.0007246234,0.0005452135,0.001361101],"category_scores_gemma":[0.0006698568,0.0001950062,0.0003816208,0.0002705073,0.0007182173,0.0005465749,0.0003820176,0.0003904741,0.0003486149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005224085,"about_ca_system_score_gemma":0.0003944459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002860791,"about_ca_topic_score_gemma":0.001607183,"domain_scores_codex":[0.9996915,0.00003998645,0.00001696268,0.0000660915,0.0001337352,0.00005184935],"domain_scores_gemma":[0.9997011,0.00007591584,0.0000809252,0.00003341987,0.00008783644,0.00002082287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003230523,0.0001808257,0.00310799,0.0001065903,0.00002065988,0.0004064146,0.0002533157,0.6153191,0.3532984,0.01368964,0.0003285015,0.01296555],"study_design_scores_gemma":[0.000004231601,0.00009738747,0.001184916,0.000004813084,0.000005120082,0.00003993459,0.00001990168,0.9777584,0.01996182,0.0005728367,0.000342731,0.000007866978],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6805356,0.0003984373,0.3054086,0.0001033926,0.0000310269,0.0002003433,0.0002772012,0.0003475267,0.0126979],"genre_scores_gemma":[0.995042,0.0001275988,0.003041042,0.000009206296,0.000003350512,0.00006043873,0.0000775618,0.00001501077,0.001623835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002860791,"threshold_uncertainty_score":0.00568825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06061480399801653,"score_gpt":0.343422515551584,"score_spread":0.2828077115535675,"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."}}