{"id":"W2940932953","doi":"10.1139/cgj-2018-0382","title":"Field and theoretical analysis of response of axially loaded grouted drilled shafts in extra-thick fine sand","year":2019,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Priority Academic Program Development of Jiangsu Higher Education Institutions; National Natural Science Foundation of China","keywords":"Geotechnical engineering; Settlement (finance); Displacement (psychology); Bearing (navigation); Geology; Structural engineering; Axial symmetry; Bearing capacity; Base (topology); Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009397078,0.0001686679,0.0005824135,0.0008947706,0.00002124242,0.00001887845,0.0002569862,0.0004025356,0.0003237279],"category_scores_gemma":[0.0006427243,0.0001483131,0.0001708178,0.0008495107,0.00007283924,0.00004979667,0.00002908897,0.0007972877,0.000002364585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001045717,"about_ca_system_score_gemma":0.0001321543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007211681,"about_ca_topic_score_gemma":0.001142778,"domain_scores_codex":[0.9985524,0.00007813031,0.000604902,0.0001666577,0.0002150092,0.0003829237],"domain_scores_gemma":[0.9987213,0.0004190734,0.000060575,0.0002989011,0.00006741539,0.0004327251],"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":[0.001117985,0.00009155235,0.001854195,0.000238388,0.00109854,0.0003311405,0.0003909297,0.8731115,0.08123123,0.03044496,0.0003078642,0.00978173],"study_design_scores_gemma":[0.001606493,0.0005498069,0.02662914,0.0003058273,0.0003597809,0.0001057417,0.00006156444,0.9578788,0.008154629,0.003328848,0.0005023148,0.0005170344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933029,0.0002173543,0.005589989,0.0004465293,0.0001324695,0.0001211343,0.00002201625,0.00004252453,0.0001250453],"genre_scores_gemma":[0.9995272,0.00006389623,0.0002940343,0.00005197056,0.00001757154,0.000002322525,0.000002913195,0.00002117406,0.00001888924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08476733,"threshold_uncertainty_score":0.6048032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00456784701415988,"score_gpt":0.1921637652173406,"score_spread":0.1875959182031807,"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."}}