{"id":"W2285451907","doi":"10.1016/j.geotexmem.2015.12.004","title":"A three-dimensional finite element approach for modeling biaxial geogrid with application to geogrid-reinforced soils","year":2016,"lang":"en","type":"article","venue":"Geotextiles and Geomembranes","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geogrid; Geotechnical engineering; Finite element method; Subgrade; Ultimate tensile strength; Materials science; Structural engineering; Geology; Engineering; Composite material; Reinforcement","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":[0.0003729901,0.0006534178,0.0007408928,0.000639978,0.0006406167,0.0008675911,0.001689974,0.002091593,0.003888503],"category_scores_gemma":[0.0009200186,0.0006335419,0.0007075557,0.0006757079,0.0006292222,0.000729414,0.0009347582,0.001014181,0.0009126593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004454922,"about_ca_system_score_gemma":0.001073487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00873577,"about_ca_topic_score_gemma":0.01148771,"domain_scores_codex":[0.9998616,0.0000322921,0.00001326475,0.00001784857,0.00005976848,0.00001524869],"domain_scores_gemma":[0.9996477,0.0001525263,0.00004022543,0.00003219382,0.00009923166,0.0000279573],"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":[0.00003032463,0.00009989999,0.0005346349,0.0000811014,0.00002146229,0.00009233583,0.0001133809,0.9676586,0.006816081,0.007556148,0.0005185945,0.01647738],"study_design_scores_gemma":[0.000003758242,0.000009598609,0.00004842221,0.000005039848,0.000002670218,0.00001308977,0.0000133926,0.9983627,0.0004315125,0.0004563596,0.0006489808,0.000004478991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02621659,0.0001267419,0.9678147,0.0001548564,0.0000547587,0.00008299041,0.000170237,0.0006083541,0.004770647],"genre_scores_gemma":[0.3856561,0.0004269794,0.6044006,0.0001876216,0.00003152148,0.0006238652,0.0004481146,0.0004041195,0.007821021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00873577,"threshold_uncertainty_score":0.01736987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007484945117187182,"score_gpt":0.1878090430434861,"score_spread":0.1803240979262989,"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."}}