{"id":"W1832943069","doi":"10.1139/cgj-2015-0171","title":"Finite element modeling of lateral pipeline–soil interactions in dense sand","year":2015,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Queen's University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Research and Development Corporation of Newfoundland and Labrador","keywords":"Geotechnical engineering; Finite element method; Geology; Mechanics; Dilatant; Plane stress; Shear band; Shear (geology); Mohr–Coulomb theory; Materials science; Displacement (psychology); Structural engineering; Engineering; Physics; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002098861,0.0004576419,0.0003834849,0.0005996153,0.0003531569,0.0005274088,0.0007150593,0.0008480388,0.001400461],"category_scores_gemma":[0.0005411939,0.0003597013,0.0003092251,0.0004053625,0.0005643898,0.0003426015,0.0004883829,0.0002487203,0.0002243254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000528077,"about_ca_system_score_gemma":0.0008581509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01430019,"about_ca_topic_score_gemma":0.01675012,"domain_scores_codex":[0.9998615,0.00002475479,0.000008103485,0.0000192904,0.00005808449,0.00002835932],"domain_scores_gemma":[0.9997899,0.0001004325,0.00003573915,0.00002137614,0.00003794477,0.00001470644],"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":[0.00001834597,0.00002556835,0.00134811,0.00002634478,0.000008776088,0.0001202429,0.00006117207,0.9826585,0.01111321,0.0009766497,0.00006537393,0.003577686],"study_design_scores_gemma":[0.000002065221,0.00001512237,0.0007379897,0.000003192353,0.000003000005,0.00002116122,0.00002785454,0.9975764,0.001201654,0.0001558801,0.0002520011,0.00000366477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6757397,0.0001809097,0.3114318,0.00009265255,0.00001892373,0.00007194054,0.0003420094,0.0003908228,0.01173126],"genre_scores_gemma":[0.9813755,0.00009381108,0.01511824,0.00001166212,0.000003299455,0.00003942701,0.0001116941,0.00002418921,0.003222222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01430019,"threshold_uncertainty_score":0.02843392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870006341628417,"score_gpt":0.227359536498505,"score_spread":0.2086594730822208,"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."}}