{"id":"W2223008349","doi":"10.1061/(asce)gt.1943-5606.0001438","title":"Numerical Modeling of the SR-18 Geogrid Reinforced Modular Block Retaining Walls","year":2016,"lang":"en","type":"article","venue":"Journal of Geotechnical and Geoenvironmental Engineering","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Geogrid; Stiffness; Structural engineering; Reinforcement; Mechanically stabilized earth; Nonlinear system; Geotechnical engineering; Modular design; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002919498,0.000219619,0.0003529415,0.00009121223,0.00004223606,0.00001214326,0.0002619055,0.0001711234,0.0000204687],"category_scores_gemma":[0.0001303912,0.0001376705,0.0001925636,0.0001603214,0.00006040905,0.000170463,0.0001019772,0.0003748951,0.000001778847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009934892,"about_ca_system_score_gemma":0.000007588554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002940443,"about_ca_topic_score_gemma":6.527907e-8,"domain_scores_codex":[0.9985116,0.00001371013,0.0006854312,0.0001380133,0.0003591529,0.0002921128],"domain_scores_gemma":[0.999401,0.00008029535,0.0001064916,0.0002432227,0.00002250484,0.000146498],"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":[0.00001067657,0.00001087093,0.00001852143,0.00004516214,0.00003569744,0.00000362946,0.00001781789,0.9727201,0.02506911,0.00007556615,0.000009847925,0.001982977],"study_design_scores_gemma":[0.0004431121,0.0001118717,0.0009889975,0.000309184,0.00003551138,0.0001225766,0.000009557255,0.9914582,0.005649555,0.00005311861,0.0006215731,0.0001967654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455462,0.0006550279,0.0531946,0.0001694447,0.0001933673,0.000102471,0.000004301537,0.00009484432,0.00003977365],"genre_scores_gemma":[0.9989324,0.000652286,0.0002648052,0.00001198599,0.00007809106,0.000003617589,4.527744e-7,0.00003842021,0.00001797962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0533862,"threshold_uncertainty_score":0.5614041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005597482151484732,"score_gpt":0.1636327883750163,"score_spread":0.1580353062235316,"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."}}