{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009917992,0.0007028975,0.0005217231,0.0009092171,0.001369764,0.0006254495,0.001127018,0.001528125,0.001088828],"category_scores_gemma":[0.0009026715,0.0002264972,0.0006105609,0.0006178242,0.0008245611,0.0005487964,0.0008117657,0.0005565656,0.0001509206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006056014,"about_ca_system_score_gemma":0.0009433922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00470449,"about_ca_topic_score_gemma":0.01367474,"domain_scores_codex":[0.9992873,0.0001426455,0.00004590278,0.00008975509,0.0002624739,0.0001720254],"domain_scores_gemma":[0.9994276,0.0001319369,0.00009103362,0.00009415705,0.0001511366,0.0001040171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"case_report","study_design_scores_codex":[0.002169225,0.002702396,0.106714,0.001651079,0.000214704,0.06084007,0.00509692,0.2877171,0.2569863,0.006094642,0.004548661,0.265265],"study_design_scores_gemma":[0.000417905,0.009991887,0.1318658,0.0002324627,0.0004439824,0.01405347,0.01581324,0.5097406,0.2869855,0.003236667,0.02677889,0.0004398097],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986532,0.0001552522,0.01125893,0.00008174815,0.00002537567,0.0001324617,0.00004062395,0.00006549233,0.001708122],"genre_scores_gemma":[0.987495,0.000127197,0.01060956,0.00001445917,0.000007006552,0.00003243046,0.00003265026,0.000009301916,0.001672267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00470449,"threshold_uncertainty_score":0.009354174,"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."}}