Bibliographic record
Abstract
For a small conference, the inaugural Atlantic Basin Conference on Chemistry (ABCChem) delivered on a big promise: to give scientists from around the Atlantic basin region an opportunity to showcase their research and to help them build collaborations with other scientists from the region. The meeting, which took place Jan. 23–26 in Cancun, Mexico, was sponsored by the American Chemical Society, the Brazilian Chemical Society, the Canadian Society for Chemistry, the Mexican Chemical Society (SQM), and the European Association for Chemical & Molecular Sciences (EuCheMS). Participating societies included the Federation of African Societies of Chemistry (FASC), the South African Chemical Institute (SACI), and the Federation of Latin American Associations of Chemistry (FLAQ). The meeting was organized around four themes: Chemistry in Biology, Green Chemistry, Materials & Nano Chemistry, and Physical & Analytical Chemistry. “The practice of chemistry is increasingly global, and there’s great science being done in all parts of
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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.059 | 0.006 |
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".