National Transportation Safety Board. "NTSB History and Mission." (http:// www. ntsb.gov/Abt_NTSB/history. htmy
Bibliographic record
Abstract
ts and Terminology. Springer-Verlag. 1992. 18. Aviation Safety Network. "Aircraft incident description 31 JAN 2001 Boeing 747-446D." 31 July 2002. 19. Federal Aviation Administration. "Aircraft Accident and Incident Notification, Investigation, and Reporting." FAA Order 8020.1 lB. 16 August 2000. Washington, D.C. 20. National Transportation Safety Board. "Accidents, Fatalities, and Rates, 2002 Preliminary Statistics, U.S. Aviation." 21. National Transportation Safety Board. "Accidents and Accident Rates by NTSB Classification, 1983 through 2002, for U.S. Air Carriers Operating Under 14 CFR 121." 22. National Transportation Safety Board. Aviation Investigation Manual: Major Team Investigations. Washington, D.C. 23. Transportation Safety Board of Canada. "Investigation Process." (18 September 2002). 24. Perrow, Charles. Normal Acci
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.330 | 0.319 |
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".