Bibliographic record
Abstract
In 2007, Nova Scotia Transportation and Infrastructure Renewal (NS TIR) contracted AMEC Earth & Environmental to perform a thermal mapping pilot project. AMEC used infra red sensors on data collection vehicles to develop Thermal Fingerprints for the western half of Trans Canada Highway 104 in Pictou County. Thermal Fingerprints were developed for each of the three classic weather types: Extreme, Intermediate, and Damped. The Night Icing Potential (NIP) prototype was developed as a new operational guidance product for use by winter maintenance operators. NIP uses RWIS forecasts together with Thermal Fingerprints of a roadway to assess the potential for night icing anywhere along the entire length of a roadway. NIP returns the earliest time for the onset of the icing process for each kilometer-long segment of roadway where a night icing potential exists. The product is presented in map form with the icing times plotted along road segments which are also colour-coded according to icing onset time. This project was nominated for the TAC 2007 Road Safety Engineering Award.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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; both teacher heads agree on what is shown here.
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".