{"id":"W7097493929","doi":"","title":"Retour/Back CONTROLLING THE PERFORMANCE OF SLIPLINED PIPE WITH GROUTING","year":2007,"lang":"en","type":"article","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trenchless technology; Annulus (botany); Grout; Culvert; Pipeline transport; Nominal Pipe Size; Water pipe","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006158386,0.000602204,0.0004932403,0.0004848147,0.0004874704,0.0008986767,0.0008661956,0.0004593416,0.002306416],"category_scores_gemma":[0.002352953,0.0002761737,0.00024893,0.0003577943,0.0007302416,0.0008812101,0.0007842485,0.000355408,0.0006403826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000349191,"about_ca_system_score_gemma":0.0001823268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256347,"about_ca_topic_score_gemma":0.002554541,"domain_scores_codex":[0.9994367,0.0000970865,0.00003565181,0.00007433346,0.0002057563,0.0001505111],"domain_scores_gemma":[0.9984084,0.0005051444,0.0003685526,0.0002872621,0.0002957986,0.0001349062],"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":[0.001774899,0.0003173894,0.01061746,0.0003547081,0.00005108238,0.0005557681,0.0007225531,0.02794531,0.87602,0.0004491113,0.0004837853,0.08070789],"study_design_scores_gemma":[0.00005120522,0.005290724,0.03785064,0.00005038454,0.0001088844,0.0003105195,0.0006558767,0.0489892,0.9027824,0.0004528079,0.003365971,0.00009139205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915804,0.000151155,0.006120971,0.0000406114,0.00001807645,0.00001688598,0.00002006872,0.000237939,0.001813813],"genre_scores_gemma":[0.9971986,0.00006233831,0.001723161,0.00001934418,0.000006133272,0.000004332074,0.00001913693,0.00005613501,0.0009106764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002306416,"threshold_uncertainty_score":0.007715702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004305730844829446,"score_gpt":0.1766802629436578,"score_spread":0.1723745320988284,"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."}}