Longevity of corrosion inhibitors and performance of liquid deicer products under field storage
Bibliographic record
Abstract
This work investigated the longevity of inhibitors and the performance of corrosion-inhibited deicer products under two storage conditions. Three liquid deicers (MgCl2-based FreezGard, CaCl2-based CCB, and NaCl+GLT) were selected for the field storage monitoring and the key properties tested included the chloride and inhibitor concentrations, corrosion parameters (Ecorr and PCR), pH, electrical conductivity, and performance parameters (Tc and IMC30°F). The three liquid deicers investigated did not lose their quality over the 14 months of field storage, regardless of the storage condition (mixed or non-mixed). As such, it is not necessary to implement any mixing for the liquid deicer tanks during storage. It is however essential to mix the tanks immediately prior to the use of the liquid deicers, to ensure uniform composition. This study also revealed that the investigated corrosion inhibitors did not show side benefits in suppressing effective temperature or in providing ice melting capacity of their corr...
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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) | 0.000 | 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".