Thermal properties, environmental deterioration and applications of macro-defect-free cements
Bibliographic record
Abstract
Macro-Defect-Free (MDF) cements using the blends of sulfoaluminate ferrite belite (SAFB) clinkers and ordinary Portland cement (OPC) in mass ratio 85 : 15 and hydroxypropylmethyl cellulose (HPMC) or polyphosphates (poly-P) were subjected to various moist atmosphere to investigate their environmental deterioration. Their thermal decomposition studies were also carried out before and after moisture attack. The effect of individual relative humidity (RH) on moisture resistance of MDF cements is more intensive than the effects of composition of MDF cements or duration of the original MDF cements synthesis. There are three main temperature regions on TG curves of both series of MDF cement samples (before and after moisture attack). In the inter-phase section of MDF cements, the content of classical cement hydrates (CSH, gypsum, AFm and AFt phases) decomposing by 250 oC is increased, while the content of cross-links section and Ca(OH)2 with typical thermoanalytical traces in temperature range 250 - 550 oC remains almost identical before and after moisture attack. In the temperature range 550 - 800 oC, decomposition of CaCO3 is occurred. Some important applications of MDF cements also have been reviewed in this work*.
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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) | 0.001 | 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".