{"id":"W2807135196","doi":"10.1061/9780784481592.031","title":"Remedial Grouting of Existing Embankment Dam Foundations: Lessons Learned (and Ignored)","year":2018,"lang":"en","type":"article","venue":"IFCEE 2018","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital","funders":"","keywords":"Remedial education; Grout; Levee; Plan (archaeology); Engineering; Instrumentation (computer programming); Closure (psychology); Civil engineering; Construction engineering; Computer science; Forensic engineering; Geotechnical engineering; Law; Geology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003805519,0.0001426313,0.0002012545,0.00008079549,0.0001647383,0.00002692494,0.0001380746,0.0001139294,0.0000524296],"category_scores_gemma":[0.0002921032,0.000150047,0.00004016587,0.0001211882,0.0001721622,0.00009376707,0.00007923247,0.0001360053,0.00004900229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004647473,"about_ca_system_score_gemma":0.00002119636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008331185,"about_ca_topic_score_gemma":0.0003138797,"domain_scores_codex":[0.9990204,0.00003230255,0.0003075505,0.0001976837,0.0001382691,0.0003038046],"domain_scores_gemma":[0.9994335,0.0001001035,0.00008417874,0.0002331445,0.00008030196,0.00006878872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000102089,0.0002477331,0.01203224,0.0007317293,0.0006136439,0.00002959434,0.03548793,0.0008217412,0.1331499,0.526935,0.009113103,0.2807353],"study_design_scores_gemma":[0.007243359,0.00205138,0.0312719,0.001436164,0.0005698038,0.0001919177,0.01887882,0.6382889,0.09049066,0.14986,0.05619206,0.003525079],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.94164,0.000202409,0.01744859,0.0001973495,0.002033308,0.000179052,0.000008512258,0.0003155226,0.03797532],"genre_scores_gemma":[0.9953979,0.00005921068,0.003762071,0.00003206572,0.000520791,0.000008679386,0.000009182398,0.00003182167,0.0001782966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6374671,"threshold_uncertainty_score":0.611874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013501237748248,"score_gpt":0.328349263390404,"score_spread":0.2269991396155792,"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."}}