Preparation of gold tailings-incorporated composite cementitious Materials and the mechanism of chlorine solidification
Bibliographic record
Abstract
Corrosion of steel bars is a main cause for the durability damage of reinforced concrete structures.Many studies have shown that in the case of concrete being alkaline, the steel bars won't corrode due to the existence of oxidation protective films [1-3]; but if the content of free chloride ions in the concrete is relatively high, the chloride ions would strongly promote the corrosion reaction, damage the protective films, and accelerate the corrosion of the steel bars, therefore, the solidification of chloride ions is particularly important for concrete.For this reason, domestic and foreign scholars have studied the process of chloride ions invading concrete [4], the mineral compositions of the admixtures and the cementitious materials [5], and the solidification effect of hydration reaction products on the chloride ions [6]; among these studies, the research on the solidification effect of mineral admixtures on the chloride ions is the most [7][8][9].In terms of the types of mineral admixtures, solid wastes such as fly ash, slag, coal gangue and steel slag have been studied more, and the research shows that the adding such materials into the concrete can improve its internal structure and performance, and enhance the later stage strength, durability and impermeability of the concrete [10][11][12][13].The above research generally believes that the with the improvement of the mechanical properties of the cementitious material, its durability would be better, however, this inference is not scientific; moreover, there's a lack in the re- Preparation of Gold Tailings-incorporated Composite Cementitious Materials and the Mechanism of Chlorine Solidification
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".