{"id":"W2795197673","doi":"10.1139/cgj-2017-0382","title":"Differential settlement remediation for new shield metro tunnel in soft soils using corrective grouting method: case study","year":2018,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geotechnical engineering; Settlement (finance); Consolidation (business); Shield; Serviceability (structure); Geology; Engineering; Mining engineering; Civil 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007596149,0.0002390738,0.0003805711,0.0005374898,0.0002583925,0.0001153607,0.0002292935,0.0002176296,0.0001625427],"category_scores_gemma":[0.0003861059,0.000250591,0.000173381,0.0004807347,0.00002929916,0.0001171965,0.00003161708,0.0007620851,0.000006054318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007404716,"about_ca_system_score_gemma":0.000216272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03643711,"about_ca_topic_score_gemma":0.06339919,"domain_scores_codex":[0.9982098,0.00006060794,0.0005420932,0.0002727968,0.0002203513,0.0006943164],"domain_scores_gemma":[0.9987127,0.0001611439,0.00007538333,0.0002229006,0.00009583976,0.0007320495],"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":[0.0000138798,0.00004689096,0.0003888274,0.00001668897,0.0001791302,0.000701082,0.0009137443,0.9415767,0.001291366,0.00001009477,0.0007613748,0.0541002],"study_design_scores_gemma":[0.0007695509,0.0001819922,0.0005517348,0.00005470751,0.0001530303,0.0006496861,0.001801656,0.9948223,0.0001481247,0.0002535208,0.0003036401,0.0003100175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2355072,0.00004992734,0.763429,0.000130456,0.0004865239,0.0002739938,0.00001529599,0.0001005667,0.000007050569],"genre_scores_gemma":[0.9880475,0.00000403399,0.01091856,0.00005473197,0.0008939371,0.0000109359,0.000005804177,0.00004774588,0.00001675542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7525403,"threshold_uncertainty_score":0.9999946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526089737672589,"score_gpt":0.2775388513952845,"score_spread":0.2522779540185586,"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."}}