{"id":"W2984313293","doi":"10.1139/cgj-2019-0512","title":"Discrete element model (DEM) simulations of cone penetration test (CPT) measurements and soil classification","year":2019,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Discrete element method; Geotechnical engineering; Cone penetration test; Void ratio; Granular material; Replicate; Materials science; Soil water; Penetration test; Particle (ecology); Mechanics; Geology; Soil science; Physics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004196057,0.0004691475,0.0004562761,0.0004873445,0.0002808141,0.0005741045,0.0006814743,0.0009645011,0.001364459],"category_scores_gemma":[0.001787023,0.0003692808,0.0003945924,0.0004316046,0.0003113137,0.0004081351,0.0002933393,0.0004911714,0.0001998293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005562871,"about_ca_system_score_gemma":0.0005682814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245997,"about_ca_topic_score_gemma":0.01227964,"domain_scores_codex":[0.999818,0.00004682482,0.00001188242,0.00002855645,0.00006655632,0.00002819427],"domain_scores_gemma":[0.998776,0.0007773031,0.0001013622,0.00009064207,0.0002071719,0.00004752728],"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":[0.00003138194,0.00003670597,0.002513883,0.00002542873,0.00000773423,0.00004396717,0.0000453234,0.9914698,0.002490715,0.0005533993,0.0001121237,0.002669452],"study_design_scores_gemma":[0.000003064672,0.00001031774,0.0002861431,0.000002395213,0.000001462173,0.000008310582,0.00001295964,0.9986191,0.000809623,0.00008343717,0.000159869,0.000003384033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7953144,0.000155328,0.1912359,0.0001581478,0.00006116476,0.0001578492,0.001332591,0.0007167459,0.01086789],"genre_scores_gemma":[0.9695284,0.00009577395,0.02841204,0.00003357877,0.000005277906,0.00009171469,0.0004412834,0.00006035539,0.00133153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01245997,"threshold_uncertainty_score":0.02477485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125005083252451,"score_gpt":0.2207496393421888,"score_spread":0.1994995885096643,"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."}}