{"id":"W4205929173","doi":"10.1002/nag.3329","title":"Effects of particle size‐shape correlations on steady shear strength of granular materials: The case of particle elongation","year":2022,"lang":"en","type":"article","venue":"International Journal for Numerical and Analytical Methods in Geomechanics","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":32,"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":"Granular material; Elongation; Materials science; Particle (ecology); Particle size; Shear (geology); Mechanics; Composite material; Shear modulus; Geotechnical engineering; Ultimate tensile strength; Physics; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001025358,0.0001013188,0.0002715054,0.0000686538,0.000061435,0.0000132995,0.0001806085,0.00004954723,0.00004745397],"category_scores_gemma":[0.001101202,0.00008073603,0.0001020109,0.0002418282,0.00002562243,0.0000457814,0.00006582672,0.00028434,2.441145e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004858689,"about_ca_system_score_gemma":0.00001309586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001523009,"about_ca_topic_score_gemma":4.760552e-7,"domain_scores_codex":[0.9987702,0.0001746282,0.0005595149,0.000104238,0.0002372726,0.0001540815],"domain_scores_gemma":[0.997867,0.001748837,0.0001191068,0.00009596432,0.0001030733,0.00006598356],"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":[0.0003025876,0.000596318,0.00002895839,0.0001879901,0.0002695781,0.0001104954,0.0003977562,0.5943123,0.07116995,0.2305652,0.00002698962,0.1020319],"study_design_scores_gemma":[0.0005435414,0.0003419506,0.00008076269,0.00003423723,0.00005308045,0.0001119264,0.000170417,0.9398553,0.04888596,0.009766323,0.00007958222,0.00007688639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.636,0.0001300707,0.362871,0.0001839722,0.0006191518,0.0001332433,0.0000420692,0.00001581123,0.00000471051],"genre_scores_gemma":[0.9911591,0.00005064851,0.008682956,0.00002157761,0.00003418585,0.00002247954,0.000001980807,0.00001465932,0.00001236155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3551591,"threshold_uncertainty_score":0.329232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741896303579075,"score_gpt":0.3186227843614191,"score_spread":0.3012038213256283,"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."}}