Bibliographic record
Abstract
[229625-50-7] C9H20ClO4P (MW: 258.69) InChI = InChI=1S/C9H20ClO4P/c1-8(2,3)13-15(11,12-7-10)14-9(4,5)6/h7H2,1-6H3 InChIKey = LNJAJHJFSKUCIR-UHFFFAOYSA-N (phosphorylation, alkylation) Alternatives names: chloromethyl di-tert-butyl phosphate; di-tert-butyl chloromethyl phosphate; phosphoric acid di(tert-butyl) chloromethyl ester, phosphoric acid di-tert-butyl ester chloromethyl ester. Physical Data: mp 272.9 °C, d = 1.115 g/cm−3. Solubility: water, toluene, dichloromethane, acetonitrile, tetrahydrofuran. Form Supplied In: commercially available. Colorless viscous liquid. Analysis of Reagent Purity: 1H NMR, 13C NMR, and 31P NMR.1 Preparative Methods: Two methods have been reported in the literature. The first method involved deprotonation of di-tert butyl phosphate with sodium bicarbonate and tetra-n-butylammonium hydrogen sulfate in water, followed by quenching with a chlorosulfate1 (eq 1). (1) The second method employs phosphorus trichloride as the starting material, which is reacted with tert-butanol in dichloromethane to afford the di-tert-butylphosphite. Subsequent oxidation using potassium iodide/hydrogen peroxide solution afforded di-tert-butylphosphate. Finally, di-tert-butylphosphate is alkylated with chloromethyl chlorosulfate in the presence of dipotassium hydrogen phosphate and a chlorosulfate to afford the desired compound (eq 2)2 (2) Purification: Purified by flash silica gel column chromatography using ethyl acetate/hexanes (1:3). Handling, Storage, and Precautions: tested positive for mutagenicity in the AMES assay. Should be handled accordingly. Use in a fume hood.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.036 | 0.024 |
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".