{"id":"W4415989375","doi":"10.1002/nag.70137","title":"Micromechanical Insights Into Cone Penetration Testing in Granular Soils Using Discrete Element Modeling","year":2025,"lang":"en","type":"article","venue":"International Journal for Numerical and Analytical Methods in Geomechanics","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Klohn Crippen Berger (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discrete element method; Granular material; Cone penetration test; Parametric statistics; Penetration test; Penetration (warfare); Dilatant; Overburden pressure; Overburden","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":[0.0003607229,0.0003496289,0.0003398556,0.0004288719,0.0002041227,0.0006520498,0.0005157318,0.0006793782,0.0009154634],"category_scores_gemma":[0.00104954,0.0002835596,0.0002799688,0.0003017115,0.0004525502,0.000415851,0.0003477025,0.000402709,0.0001321073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004030462,"about_ca_system_score_gemma":0.0004598316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005394444,"about_ca_topic_score_gemma":0.005338719,"domain_scores_codex":[0.9998549,0.00003284858,0.00000909489,0.00002232642,0.00006353021,0.0000173284],"domain_scores_gemma":[0.999438,0.0003720279,0.00005680652,0.00005432128,0.00005689853,0.00002189623],"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":[0.0000525152,0.00009131802,0.004831967,0.00008114467,0.00001134569,0.0001488957,0.0001497877,0.9489418,0.03378106,0.001485478,0.0001066313,0.01031811],"study_design_scores_gemma":[0.000001759647,0.00000935449,0.0003937415,0.000002926812,8.008568e-7,0.000007016928,0.00001389029,0.9982312,0.001079377,0.0001769114,0.00007993688,0.000003151279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7538747,0.0001664729,0.2406287,0.0001786513,0.00002414483,0.00009839208,0.0003108972,0.0004382748,0.004279802],"genre_scores_gemma":[0.9800347,0.00006553913,0.01933711,0.00001664048,0.000002921423,0.00003240279,0.00006033057,0.00002191793,0.0004285522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005394444,"threshold_uncertainty_score":0.01072609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03667661991999095,"score_gpt":0.3603892086338953,"score_spread":0.3237125887139043,"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."}}