Influence of environmental parameters on application of standard ASTM C876-91: half cell potential measurements
Bibliographic record
Abstract
Since the potential of corrosion of any metal in contact with concrete is a function of a large number of variables related to the composition of pore solution, degree of polarisation, temperature and cover depth, no quantitative (corrosion rate) conclusion can be drawn from it. Potentials do not provide relevant information on the amount of corrosion. The validity of these interpretations has been questioned in some situations such as saturated structures, or when carbonation is the cause of the corrosion or cathodic processes are modified. Half cell potential technique (ASTM C 876) is however a useful tool widely used for in situ assessment of the corrosion state of rebars. Some applications of the ASTM C 876 standard are presented and it has been shown that this standard cannot be used under all conditions. Finally, some recommendations are provided in an attempt to optimise the application of the ASTM C 876 standard.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".