Bibliographic record
Abstract
[372-64-5] (C2F6S2) (MW 202.14) InChI = 1S/C2F6S2/c3-1(4,5)9-10-2(6,7)8 InChIKey = CGMFFOXAQVRUAZ-UHFFFAOYSA-N (source of radical SCF3 for preparation of trifluoromethyl sulfides) Alternate Names: trifluoromethyldisulfide, hexafluorodimethyldisulfide, perfluorodimethyldisulfide, bis(trifluoromethyl)disulfane. Form Supplied in: liquid, available with many chemical suppliers. Physical Data: liquid, bp 34–35 °C, d 1.5 g mL−1 at 25 °C. Solubility: halogenated solvents. Analysis of Reagent Purity: 19F NMR (CD3CN, 188.3 MHz) δ 45.4 ppm (s, 1JF,C = 313.9 Hz, 5JF,F = 4.6 Hz).1 Preparation: a two-step procedure, involving the formation of trichloromethylsulfenyl bromide by reaction of trichloromethanesulfenyl chloride with HBr (eq 1), followed by heating with potassium fluoride, and removal of 1 in a cold trap (eq 2).2 Alternatively, irradiation of trichloromethanesulfenyl chloride gives bis(trichloromethyl)disulfide (eq 3), which can react with potassium fluoride at 150–160 °C. Bis(trifluoromethyl)disulfide 1 can be isolated by distillation (eq 4).2 In addition, reaction of trifluoromethanesulfenyl chloride with iron pentacarbonyl at −80 °C forms the desired disulfide 1, which can be isolated by distillation.3 (1) (2) (3) (4) Purification: distillation. Handling, Storage, and Precautions: highly toxic by inhalation, volatile, should only be handled in an efficient fumehood with suitable protection equipment.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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; both teacher heads agree on what is shown here.
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".