Bibliographic record
Abstract
image [ 557795‐54‐7 ] C 3 H 2 Cl 3 N 3 O 2 (MW 218.42) InChI = 1S/C3H2Cl3N3O2/c4‐3(5,6)1‐11‐2(10)8‐9‐7/h1H2 InChIKey = YDTKTBLDWKPOTC‐UHFFFAOYSA‐N (metal nitrene precursor to undergo amidation of thioethers, C–H amination of alkanes, aziridination of alkenes; amination reagent in cross‐coupling reaction with boronic acids) Physical Data: NMR (250 MHz, CDCl 3 ) δ 4.83 (s, 2H). NMR (62.9 MHz, CDCl 3 ) δ 156.5, 93.8, 76.5. IR (neat) 2179, 2143, 1769, 1734, 1223, 712 cm −1 . 1 Solubility: sol aromatic hydrocarbons (toluene, benzene, chlorobenzene, trifluorotoluene), ether, tetrahydrofuran, dichloroethane, dichloromethane, chloroform, ethyl acetate, acetone. Form Supplied in: colorless liquid. Preparative Method: 2,2,2‐trichloroethyl carbonazidate (TrocN 3 ) is readily prepared from commercially available 2,2,2‐trichloroethyl chloroformate and sodium azide in acetone (eq ). 1 Sodium azide is not compatible with dichloromethane (or chloroform), due to the formation of explosive diazidomethane, CH 2 (N 3 ) 2 . 2 Polyhalomethane solvents should also be avoided in the workup of TrocN 3 . image Purification: flash chromatography on silica gel with 100% CH 2 Cl 2 . Handling, Storage, and Precautions: should be stored at 0 °C and protected from light. Differential scanning calorimetry (DSC) analysis shows TrocN 3 decomposes at 157 °C. 1
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 0.015 |
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".