{"id":"W2780958984","doi":"","title":"Testing of Innovative Pipe Renewal Liners for Renovation of Potable Water Distribution Pipelines","year":2017,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Potable water; Pipeline transport; Engineering; Environmental science; Civil engineering; Architectural engineering; Forensic engineering; Petroleum engineering; Waste management; Environmental engineering","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":[0.001469473,0.0004984632,0.0004024618,0.0005022805,0.0003497284,0.0005063154,0.001287862,0.0007234825,0.001364161],"category_scores_gemma":[0.00169162,0.0002496777,0.0005534724,0.00030099,0.0004106896,0.0007405031,0.0004819085,0.0003775249,0.0004231603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007804445,"about_ca_system_score_gemma":0.0004775542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001877326,"about_ca_topic_score_gemma":0.005539135,"domain_scores_codex":[0.9980423,0.0002428852,0.0001013566,0.0003292253,0.001127007,0.0001571261],"domain_scores_gemma":[0.9988675,0.0001715209,0.0003507088,0.0001485332,0.0003948416,0.00006694959],"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":[0.000173193,0.0001609805,0.006775724,0.0001889003,0.00001690423,0.0002599319,0.0003694179,0.001413031,0.9770354,0.00008911367,0.0001012845,0.01341617],"study_design_scores_gemma":[0.00002362731,0.005609928,0.02952471,0.00002671872,0.0000350998,0.0003311975,0.0004241112,0.002599475,0.9581658,0.00002892575,0.003202862,0.00002761491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945568,0.0001562704,0.004193366,0.00002802866,0.0000157645,0.0001386122,0.0001005121,0.0001429528,0.0006677834],"genre_scores_gemma":[0.9856835,0.0002366995,0.01063067,0.00003350885,0.000004966644,0.00006582719,0.000185107,0.00003286227,0.00312699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001877326,"threshold_uncertainty_score":0.007771432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119033592839024,"score_gpt":0.2022715103880654,"score_spread":0.1910811744596751,"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."}}