Bibliographic record
Abstract
[534-16-7] CAg2CO3 (MW 275.75) 1S/CH2O3.2Ag/c2-1(3)4;;/h(H2,2,3,4);;/q;2*+1/p-2 InChIKey = KQTXIZHBFFWWFW-UHFFFAOYSA-L (mild oxidizing agent, halide scavenger, catalyst for decarboxylation, Lewis acid) Alternate Names: silver carbonate, disilver carbonate, Fétizon's reagent. Physical Data: mp 210 °C (dec.), d 6.077 g cm−3. Solubility: insoluble in water, soluble in nitric acid, liquid ammonia. Form Supplied in: faint green to dark green and faint brown to dark brown powder. Preparative Methods: by reaction of silver(I) nitrate with sodium carbonate in deionized water.1 Handling, Storage, and Precautions: light sensitive. Causes serious eye damage. Very toxic to aquatic life, may cause long-term adverse effects in the aquatic environment. In case of contact with eyes, rinse with copious amounts of water. Must be disposed of as hazardous waste.
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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.069 | 0.039 |
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".