Bibliographic record
Abstract
this document are the property of their respective owners. Corporate Headquarters Wind River Systems, Inc. 500 Wind River Way Alameda, CA 94501-1153 USA toll free (US): 800/545-WIND telephone: 510/748-4100 facsimile: 510/749-2010 Europe Wind River Systems, S.A.R.L. 19, Avenue de Norvge Immeuble B4, Btiment 3 Z.A. de Courtaboeuf 1 91953 Les Ulis Cdex FRANCE telephone: 33-1-60-92-63-00 facsimile: 33-1-60-92-63-15 Japan Wind River Systems K.K. Ebisu Prime Square Tower 5th Fl. 1-1-39 Hiroo Shibuya-ku Tokyo 150-0012 JAPAN telephone: 81-3-5778-6001 facsimile: 81-3-5778-6002 WindView User's Guide, 2.0.1 6 May 99 Part #: DOC-12393-ZD-02 CUSTOMER SUPPORT Telephone E-mail Fax Corporate: 800/872-4977 toll free, U.S. & Canada 510/748-4100 direct support@wrs.com 510/749-2164 Europe: 33-1-69-07-78-78 support@wrsec.fr 33-1-69-07-08-26 Japan: 011-81-3-5467-5900 support@kk.wrs.com 011-81-3-5467-5877 If you purchased your Wind River Systems product from a distributor, please contact your distributor to determine how to reach your technical support organization. Please provide your license number when contacting Customer Support. iii 1
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.617 | 0.754 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".