{"id":"W4386440118","doi":"10.5802/ogeo.15","title":"Shear strength of angular granular materials with size and shape polydispersity","year":2023,"lang":"en","type":"article","venue":"Open Geomechanics","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Shearing (physics); Grain size; Materials science; Particle-size distribution; Scaling; Granular material; Shear (geology); Discrete element method; Particle size; Shape factor; Geometry; Composite material; Mechanics; Mathematics; Geology; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003607694,0.0003333169,0.0003017569,0.0009989324,0.0002275507,0.0006252346,0.000222578,0.000348765,0.001204211],"category_scores_gemma":[0.000935021,0.0002487786,0.0002420117,0.0005636804,0.0006952523,0.0003438264,0.0002671484,0.0003002709,0.0001741869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003396081,"about_ca_system_score_gemma":0.0001490458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008295474,"about_ca_topic_score_gemma":0.0009431905,"domain_scores_codex":[0.9997675,0.00001631618,0.00001872776,0.00005219783,0.0001060985,0.00003924535],"domain_scores_gemma":[0.9995876,0.0001573904,0.00009571918,0.00005016931,0.00006299787,0.0000460991],"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":[0.001121627,0.0001191012,0.01455008,0.000421588,0.00009408646,0.0008992494,0.0002764358,0.08695219,0.8699719,0.003281851,0.0005985404,0.02171343],"study_design_scores_gemma":[0.00004786391,0.0008360106,0.06696219,0.00006559664,0.00009057042,0.0004498712,0.0003509917,0.2310061,0.6956459,0.00188827,0.002574532,0.00008213033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995262,0.0004062963,0.002612216,0.00004017794,0.0000256014,0.000009738746,0.000205347,0.00006905663,0.001369526],"genre_scores_gemma":[0.9992211,0.00007372861,0.0003927225,0.000007959371,0.000002418107,0.00000387126,0.0001071162,0.000007469027,0.0001837258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001204211,"threshold_uncertainty_score":0.004028499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008402767897351456,"score_gpt":0.1982145460939285,"score_spread":0.1898117781965771,"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."}}