Bibliographic record
Abstract
A new environmental friendly catalyst H3PW12O40/PAn was prepared and identified by means of FT-IR, XRD, and TG/DTA. The optimum conditions have been found; that is, the mass ratio of PAn to H3PW12O40 is 1:1.5, the volume of methanol is 20 mL, and the reflux reaction time is 3 h. The structural identity of Keggin units is preserved after the incorporation into polyaniline matrix. Catalytic activities of H3PW12O40/PAn in synthesizing 2-methyl-2-ethoxycarbonylmethyl-1,3-dioxolane,2,4-dirnethyl-2-ethoxycarbonylmethyl-1,3-dioxolane, cyclohexanone ethylene ketal, cyclohexanone 1,2-propanediol ketal, butanone ethylene ketal, butanone 1,2-propanediol ketal, 2-phenyl-1,3-dioxolane, 4-methyl-2-phenyl-1,3-dioxolane, 2-propyl-1,3-dioxolane, and 4-methyl-2-propyl-1,3-dioxolane were reported. It has been demonstrated that H3PW12O40/PAn is an excellent catalyst. Various factors concerned in these reactions were investigated. The optimum conditions are as follows: the molar ratio of aldehyde/ketone to glycol (r) is 1:1.5, the mass ratio of the catalyst used to the reactants is 0.6%, and the reaction time is 1.0 h. Under these conditions, the yield is as follows: 2-methyl-2-ethoxycarbonylmethyl-1,3-dioxolane, 69.0%; 2,4-dimethyl-2-ethoxycarbonylmethyl-1,3-dioxolane, 79.5%; cyclohexanone ethylene ketal, 78.9%; cyclohexanone 1,2-propanediol ketal, 85.3%; butanone ethylene ketal, 56.9%; butanone 1,2-propanediol ketal, 78.1%; 2-phenyl-1,3-dioxolane, 76.3%; 4-methyl-2-phenyl-1,3-dioxolane, 94.2%; 2-propyl-1,3-dioxolane, 70.7%; and 4-methyl-2-propyl-1,3-dioxolane, 79.2%.
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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) | 0.001 | 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) | 0.002 | 0.001 |
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".