Synthesis and Study of Thermo Physical Properties of Phthalic anhydride glycerol Resin (PAGR) from Soybean Oil
Bibliographic record
Abstract
Phthalic anhydride-glycerol Resin(PAGR) increase the flexibility of paint, resist to acid rain effect, increases the adhesiveness, brushing power, film hardness, layer flexibility, durability, gloss retention, resistance to abrasion also helps to decrease the overall drying time of paints. Phthalic anhydride-glycerol Resin is produced by reacting polyfunctional alcohol with the poly basic and monofunctional acid by Alcoholysis process. Moreover, Phthalic anhydride-glycerol Resin (PAGR) is a major raw material for coatings, varnishes and binders. Phthalic anhydride-glycerol Resin (PAGR) is used in paints coating compositions, adhesive, plastics, varnishes, printing ink, floor coverings. In the present research work, Phthalic anhydride-glycerol Resin is synthesized using soybean oil, pentaerythritol, phthalic anhydride and litharge (PbO). It was further characterized by FTIR, DSC TGA and acid value.
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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".