Groupe de travail sur les mortiers de restauration pour bâtiments anciens ; Base de données sur les caractéristiques des émissions de COV des matériaux ; Les éditions 2005 des Codes nationaux de construction ; SIGDERS Phase IV - Recherche sur les couvertures fixées mécaniquement ; Les scientifiques du CNRC mettent au point un modèle qui calcule les indices d'éclairage et de visibilité des systèmes de fenêtre complexes
Bibliographic record
Abstract
The Working Group on Repointing Mortars will meet on June 21, 2006 (see http://www.nrc-cnrc.gc.ca/eng/projects/irc/repointing-mortar.html for more information). A new IRC software can be used to determine whether materials and ventilation strategies meet a specific air quality guideline (http://www.nrc-cnrc.gc.ca/eng/projects/irc/simulation.html). The CD-ROM versions of the 2005 National Building, Fire and Plumbing Codes will be released in spring 2006 (http://www.nrc.gc.ca/virtualstore). IRC researchers developed a new model which calculates lighting and view indices for complex fenestration systems. NRC-IRC plans to extend the results of this project to skylights in a new initiative related to its SkyVision project (http://www.nrc-cnrc.gc.ca/eng/projects/irc/optical-characteristics.html). IRC research on mechanically attached roofing membranes continues with Phase IV of the SIGDERS project.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.018 |
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 source (direct Gemma or distilled Codex), 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".