{"id":"W2944922339","doi":"10.24423/aom.3084","title":"State-dependent fractional plasticity model for the true triaxial behaviour of granular soil","year":2018,"lang":"en","type":"article","venue":"Open MIND","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Plasticity; Stress space; Granular material; Fractional calculus; Triaxial shear test; Mathematics; Geotechnical engineering; Stress (linguistics); Flow (mathematics); Soil water; Mechanics; Materials science; Mathematical analysis; Geometry; Physics; Geology; Constitutive equation; Thermodynamics; Finite element method; Composite material; Shear (geology); Soil science","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":[0.0001989284,0.0005751767,0.00051483,0.0006488174,0.0002588464,0.0007437964,0.001371787,0.001294787,0.001214272],"category_scores_gemma":[0.0004974415,0.0003110698,0.0007869202,0.0005465455,0.0007226219,0.001095287,0.0004191412,0.0006201506,0.0003727802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004289101,"about_ca_system_score_gemma":0.0005116023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003186784,"about_ca_topic_score_gemma":0.003115995,"domain_scores_codex":[0.9998404,0.00002600237,0.00001054863,0.00003644011,0.00005566642,0.00003092927],"domain_scores_gemma":[0.9998209,0.00004187483,0.0000502186,0.00003701899,0.00003911055,0.0000110169],"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":[0.00002933699,0.00003816324,0.0005105562,0.00006461656,0.00001638459,0.0002631195,0.00006262696,0.956922,0.01382811,0.02007416,0.0002508497,0.007940082],"study_design_scores_gemma":[0.000001663357,0.00001068843,0.0002239178,0.000003027649,0.000003736035,0.00006467933,0.000006118237,0.9965809,0.0006948257,0.002067255,0.0003364162,0.000006885764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1170039,0.0007501523,0.8665843,0.0002632067,0.0001008028,0.00006398297,0.0002614548,0.0004196012,0.01455254],"genre_scores_gemma":[0.9696441,0.0005489966,0.02161424,0.00005526598,0.00002200502,0.00009189496,0.0001197302,0.00005260111,0.007851207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003186784,"threshold_uncertainty_score":0.00633651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188379409131774,"score_gpt":0.2645147372683362,"score_spread":0.2326309431770185,"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."}}