{"id":"W2429913968","doi":"10.1016/j.jmps.2016.01.019","title":"A micromechanical study of dilatancy of granular materials","year":2016,"lang":"en","type":"article","venue":"Journal of the Mechanics and Physics of Solids","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dilatant; Micromechanics; Discrete element method; Materials science; Granular material; Shear (geology); Anisotropy; Mechanics; Shear rate; Slip (aerodynamics); Composite material; Geotechnical engineering; Rheology; Geology; Physics; Thermodynamics","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":[0.0001578322,0.0001551422,0.0002326629,0.0004064838,0.0003501397,0.0004597884,0.000377583,0.0003153996,0.002468419],"category_scores_gemma":[0.0005724407,0.0001722244,0.0001551554,0.0003112188,0.0006411911,0.0003618495,0.0002906628,0.0003156911,0.000167009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002025962,"about_ca_system_score_gemma":0.0001321382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007156061,"about_ca_topic_score_gemma":0.000560683,"domain_scores_codex":[0.9999263,0.000009736059,0.000004258946,0.00001685571,0.00002400894,0.00001881108],"domain_scores_gemma":[0.9997707,0.0001011732,0.00003636952,0.00003131272,0.00003581414,0.0000247734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004456403,0.0002036002,0.005633389,0.0002246006,0.00003677592,0.00233548,0.0004817606,0.02671153,0.9281316,0.01315298,0.0005574952,0.02208531],"study_design_scores_gemma":[0.0001934628,0.001353322,0.09796613,0.00005643134,0.00006096117,0.001912628,0.0013632,0.5922212,0.284576,0.01205571,0.008103554,0.0001373469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840082,0.0007461331,0.006888673,0.0002652826,0.00006258554,0.00003193394,0.00008471684,0.00002790709,0.007884468],"genre_scores_gemma":[0.9985762,0.0001067953,0.000471641,0.00001611746,0.00001190441,0.000003692443,0.00001449188,0.000002944159,0.0007962982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002468419,"threshold_uncertainty_score":0.008257627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008248451060650013,"score_gpt":0.1978861183709834,"score_spread":0.1896376673103334,"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."}}