RETRACTED: Alkali-activated fly ash concrete with untreated coal aggregate: Fresh- and hardened state properties
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
The alkali-activated materials found in agricultural and industrial waste have less carbon impact on concrete production.This study intends to use unprocessed charcoal gravel (UCG) and unprocessed charcoal fine gravel (UCFG) appropriately as a substitution of normal gravel stack to manufacture self-consolidated construction material (SCCM).The SCCM contains pulverized fuel ash (PFA), two different alkalis-NaOH and Na 2 SiO 3 as alkali activator, and superplasticizer (SP).The measured features are density, workability, air content, mechanical stresses, modulus of elasticity, gas-based, water-based, and chloride-based endurance, resistivity of electrical power and strength of acid on ten different SCCM mixes in the work.In the mixes, the stack of normal gravel was substituted with the stack of unprocessed charcoal gravel at ten contents in terms of volume: 0%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90% and 100%.In addition to the measured features, new math models were suggested to estimate the durability and mechanical features of SCCM produced with different stack of unprocessed charcoal gravel.It was shown with the results that the SCCM features were developed significantly by substituting of 20% normal gravel stack with unprocessed charcoal gravel stack.In addition, the suggested math models could obtain to estimate accurately the features of SCCM containing PFA, alkalis, unprocessed charcoal gravel, and superplasticizer.
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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 | 0.001 | 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".