{"id":"W3042156781","doi":"10.1139/cgj-2019-0841","title":"Use of a bounding surface model in predicting element tests and capacity in boundary value problems","year":2020,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lloyd's Register","keywords":"Centrifuge; Dilatant; Plasticity; Boundary value problem; Bounding overwatch; Geotechnical engineering; Modulus; Monotonic function; Structural engineering; Scaling; Finite element method; Surface (topology); Boundary (topology); Mechanics; Engineering; Mathematics; Computer science; Materials science; Mathematical analysis; Geometry; Physics","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":[0.00127676,0.000858285,0.0009945413,0.0007152124,0.0006353786,0.001454112,0.001252895,0.002136543,0.001780067],"category_scores_gemma":[0.00557902,0.0005290335,0.0005907493,0.0005999817,0.001987312,0.001487264,0.001049086,0.001377783,0.0005949393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005976774,"about_ca_system_score_gemma":0.0009922774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006464911,"about_ca_topic_score_gemma":0.003416667,"domain_scores_codex":[0.9993916,0.0002570455,0.00002843922,0.00006066912,0.0001917131,0.0000705407],"domain_scores_gemma":[0.9975892,0.001805878,0.0001426083,0.0001961772,0.0001932076,0.00007290781],"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":[0.000006716481,0.000009607794,0.0002846572,0.000009453157,0.000001754481,0.00003102791,0.0000215529,0.9940637,0.0006798103,0.002317481,0.00003528049,0.002539068],"study_design_scores_gemma":[8.530179e-7,0.000007008986,0.00005618674,0.00000274857,5.684439e-7,0.000006368367,0.000003716872,0.9984031,0.0003217878,0.001096757,0.00009809613,0.000002804807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1154761,0.0001912489,0.8715509,0.0002566863,0.00003311512,0.00009743401,0.00007355392,0.0004496915,0.01187128],"genre_scores_gemma":[0.9251906,0.0001934861,0.07137689,0.00004564902,0.00001503107,0.0001624104,0.0001258524,0.0001991847,0.00269091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006464911,"threshold_uncertainty_score":0.01285452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.032478320132031,"score_gpt":0.2030264713366707,"score_spread":0.1705481512046397,"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."}}