Application of simulation in trenchless renewal of underground urban infrastructure
Bibliographic record
Abstract
Article Free Access Share on Application of simulation in trenchless renewal of underground urban infrastructure Authors: Jason S. Lueke Department of Civil & Environmental Engineering, 220 Civil/Electrical Engineering Building, University of Alberta, Edmonton Canada T6G 2G7 Department of Civil & Environmental Engineering, 220 Civil/Electrical Engineering Building, University of Alberta, Edmonton Canada T6G 2G7View Profile , Samuel T. Ariaratnam Department of Civil & Environmental Engineering, 220 Civil/Electrical Engineering Building, University of Alberta, Edmonton Canada T6G 2G7 Department of Civil & Environmental Engineering, 220 Civil/Electrical Engineering Building, University of Alberta, Edmonton Canada T6G 2G7View Profile , Simaan M. AbouRizk Department of Civil & Environmental Engineering, 220 Civil/Electrical Engineering Building, University of Alberta, Edmonton Canada T6G 2G7 Department of Civil & Environmental Engineering, 220 Civil/Electrical Engineering Building, University of Alberta, Edmonton Canada T6G 2G7View Profile Authors Info & Claims WSC '99: Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2December 1999 Pages 929–936https://doi.org/10.1145/324898.324931Published:01 December 1999Publication History 6citation279DownloadsMetricsTotal Citations6Total Downloads279Last 12 Months18Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".