Systemes inhibiteurs de corrosion pour ponts en beton - 10 ans d'evaluation de la performance in situ
Bibliographic record
Abstract
La performance in situ de neuf systemes anticorrosion pour structures en beton arme exposees au severe climat canadien a ete evaluee sur des parapets de pont. Ces systemes etaient composes d'un ou de plusieurs des composants suivants: adjuvants a beton, revetements d'armature, et/ou des scellants/revetements de surface pour beton. L'evaluation comportait des mesures annuelles du potentiel et de la vitesse de corrosion, ainsi que des essais sur des carottes de beton. Apres dix ans, l'armature principale, placee a une profondeur de 75 mm, etait encore en bon etat. Des barres speciales enfouies a 13 mm de profondeur ont montre des signes de corrosion avancee pour tous les systemes testes. L'evaluation non destructive de barres enfouies a 25 mm de profondeur a demontre des risques de corrosion plus faibles pour les systemes composes d'adjuvants a beton. (A). (Voir fiche generale du congres : F101134).
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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 | 0.000 | 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) | 0.002 | 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 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".