Bibliographic record
Abstract
J. Peter Jesson, 83, died on March 8 in New York City. “During his 29-year career at DuPont, Peter made seminal contributions to spectroscopy, transition-metal chemistry, homogeneous catalysis, and other areas of chemistry. Working in the Central Research Department, he coauthored well over 100 articles in refereed journals, including 23 in the Journal of the American Chemical Society . In 1974, he took on the task of leading an independent assessment of the effects of chlorofluorocarbon emission on atmospheric chemistry and thermal structure. This led to DuPont’s decision to support the Montreal Protocol.”— M. Lana Sheer, wife Most recent title: Director of the Jackson Laboratory, DuPont Education: BS, chemistry, 1957, MS, chemistry, 1958, and PhD, physical chemistry, 1960, St. John’s College, University of Oxford Survivors: Wife, M. Lana Sheer; two daughters; four grandchildren; two great-grandchildren To recognize your late loved one or colleague, submit obituary information at cenm.ag/obits .
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.060 | 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".