Bibliographic record
Abstract
[82503-38-6] C10H10AgMnN2O4 (MW 385.01) InChI = 1S/2C5H5N.Ag.Mn.4O/c2*1-2-4-6-5-3-1;;;;;;/h2*1-5H;;;;;;/q;;+1;;;;;-1 InChIKey = BKOYEWVQWOTSFK-UHFFFAOYSA-N (oxidant, useful for the oxidation of polycyclic aromatics and alkynes to diketones,1 primary benzylic alcohols to aldehydes,2 secondary alcohols to ketones;2 for the oxidative coupling of amines;3 and the deoximation of oximes3) Physical Data: purple solid, decomposes at 104–105 °C.2 Solubility: sol acetone, chloroform and dichloromethane; sparingly sol benzene and pyridine.2 Analysis of Reagent Purity: elemental analysis.2 Preparative Method: pyridine (3 mol) is added to KMnO4 (1 mol) dissolved in a minimum of distilled water followed by AgNO3 (1 mol) in 1.7 L of distilled water. The purple precipitate (90%) is washed with water and then benzene. After drying over CaCl2 it is recrystallized from acetone/benzene.2 The visible spectrum resembles that of potassium permanganate and the IR displays a strong band at 900 cm−1. Handling, Storage, and Precautions: slowly reduced by polar solvents such as acetone, chloroform, and dichloromethane; less soluble, but more stable in benzene and pyridine;2 insensitive to hammer blows, but ignites above 80 °C;2 store small amounts (10–50 g) in glass vessels at or below rt.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.023 |
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".