Bibliographic record
Abstract
The 2008 AGU Fall Meeting, to be held 15–19 December in San Francisco, is likely to be the largest AGU meeting to date. More than 15,800 presentations are scheduled, and more than 11,000 participants registered prior to the early‐bird deadline of 14 November. This year, all oral sessions and the exhibit hall will be in Moscone West, and all poster sessions will be in Moscone North. (The American Society for Cell Biology will be holding its annual meeting in Moscone South.) Meeting attendees will receive general information including an author index, maps, and a list of sessions by discipline, cosponsors, day, time, and location. To reduce the environmental impact of the meeting, hard‐copy programs will no longer contain detailed session information—this is available on the Fall Meeting Web site, and terminals will be available to look up the meeting schedule on‐site. To increase accessibility of meeting highlights to those who cannot attend, approximately one Union session per day will be available as a live webcast (see the Fall Meeting Web site for details). Named lectures at the meeting will also be recorded; webcasts of these lectures will be posted after the talk.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.151 | 0.115 |
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".