Explicit Study of Epoxy/ Momordica Angustisepala Fiber and Rice Husk Ash Nanoparticle Composites for Roofing Sheet Application
Bibliographic record
Abstract
The development of roofing sheets using sustainable materials to reduce the health hazard pose by asbestos, corrosion of galvanized zinc, and cost of long span aluminum has been giving attention. In this work, density, tensile properties, corrosion resistance and stress analysis of Momordica angustisepala fiber (MAf) and rice husk ash nanoparticle/epoxy composite was used as criteria to determine the suitability of the new material as a roofing sheet application. Roofing sheets of lower weight can be produced with this developed material. The yield strength and tensile strength of 73.45 and 75.12 MPa are within the strength recommended for galvanized zinc and long span aluminum. The new material can be used in the production of roofing sheets with better corrosion resistance than galvanized zinc and long span aluminum. It was established that light weight roofing sheets with better corrosion resistance can be made with this composite.
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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) | 0.000 | 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 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".