{"id":"W2318339464","doi":"10.1061/9780784412350.0085","title":"Simulation of Colloidal Silica Grout Injection Using Shear Effects","year":2012,"lang":"en","type":"article","venue":"","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Nutrasource","funders":"","keywords":"Grout; Materials science; Colloid; Hydraulic conductivity; Viscosity; Porous medium; Geotechnical engineering; Colloidal silica; MODFLOW; Porosity; Shear (geology); Composite material; Groundwater; Chemical engineering; Geology; Soil science; Engineering; Soil water; Groundwater flow","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001305106,0.0003867664,0.0003650835,0.0003109952,0.0002753994,0.0004868623,0.0003868729,0.0006512291,0.001085599],"category_scores_gemma":[0.00043692,0.0001786068,0.0004092588,0.0002746554,0.0003059603,0.000310822,0.0002575714,0.0003201667,0.00008203385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005964621,"about_ca_system_score_gemma":0.0006087161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008141091,"about_ca_topic_score_gemma":0.003821571,"domain_scores_codex":[0.999946,0.000008050126,0.000003588571,0.0000114516,0.0000168728,0.00001400051],"domain_scores_gemma":[0.9998096,0.0001002014,0.00003053996,0.00001079127,0.00003040772,0.00001855574],"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":[0.0001183143,0.00006023898,0.002264045,0.00005053384,0.00001521492,0.0001305627,0.00005232714,0.9587373,0.03467261,0.001346076,0.0001152109,0.002437515],"study_design_scores_gemma":[0.0000079515,0.00002561958,0.0003655984,0.000001905536,0.000003189066,0.000007053916,0.000005398736,0.9947547,0.004605321,0.00009931241,0.000120253,0.000003716638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639481,0.0001216211,0.03055913,0.00009753386,0.00003061433,0.00006546627,0.0004582857,0.0002863865,0.004432924],"genre_scores_gemma":[0.9873827,0.0001485936,0.01057696,0.00002022019,0.000005492931,0.00005621173,0.0002675428,0.00002866008,0.001513548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008141091,"threshold_uncertainty_score":0.01618743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453102769956907,"score_gpt":0.2439729447255209,"score_spread":0.2294419170259518,"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."}}