{"id":"W4385602347","doi":"10.1007/978-3-031-34159-5_61","title":"Development of a Physical Model and In Situ Test for the Study of Polymer Injections in Concrete Fractures for Waterproofing","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Société de Transport de Montréal; École de Technologie Supérieure","funders":"","keywords":"Waterproofing; Viscosity; Geotechnical engineering; Materials science; Composite material; Geology","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":[0.0002759258,0.0005295191,0.0005021801,0.0002646001,0.0003693156,0.0004517213,0.001614164,0.001158891,0.002686728],"category_scores_gemma":[0.0004074354,0.0003658489,0.0004277368,0.0002113946,0.0003778533,0.0007561114,0.0004545589,0.0005201168,0.000796064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000348774,"about_ca_system_score_gemma":0.0006531731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556418,"about_ca_topic_score_gemma":0.001735763,"domain_scores_codex":[0.9997529,0.00002172197,0.00000996645,0.00004402943,0.000150758,0.00002059368],"domain_scores_gemma":[0.9997155,0.00007517945,0.00002553251,0.00006668743,0.00009569118,0.00002145868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001181086,0.0004313589,0.001537085,0.0001890039,0.00001294018,0.0002216327,0.000111364,0.05120341,0.9054716,0.00318493,0.0007368313,0.03678185],"study_design_scores_gemma":[0.00005846432,0.00138734,0.003295637,0.00002165314,0.00003403754,0.0002696038,0.00009336283,0.3109551,0.6752874,0.001320557,0.007237963,0.00003886349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2932604,0.0003560016,0.690796,0.000197105,0.0001350388,0.0005368105,0.0006500892,0.002127171,0.0119415],"genre_scores_gemma":[0.7697613,0.0003574211,0.2146662,0.00005335642,0.00001838058,0.0005119587,0.0004840713,0.0002055896,0.01394175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002686728,"threshold_uncertainty_score":0.008988023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556055788942557,"score_gpt":0.234962426759124,"score_spread":0.2194018688696985,"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."}}