Bibliographic record
Abstract
News and Features 21st Century Medicine Receives Grant of $150,000 1 Community- Bancorp and Cuyamaca Bank Approve Merger 1 Ontario Convention Center 1 Karen Dil Bowerman, Ph.D. 6 Yamamotoyama of America 7 Mistakes Today’s Executives Make 10 How to Build Your Own Championship Team 15 A Review of Oaks of Ojai 16 California Chamber of Commerce 38 Columns Close-Up 6 Corporate Profile 7 Stocks 8 Letter to the Editor/Commentary . 9 Computers/Technology 12.13 Managing 14 Championship Team Building l5 Executi'e Time Out 16 People in Profile 17 Economic Development 18 Office Technology 20 Resource Directory 23 Marketing and Sales 26 New Business List 27 Second Page 1 29 Health 31 Marketing 32 Managers Bookshelf 33 Real Estate/Real Estate Notes 37 SPECIAL REPORT-Nov. Ballot Measure 38-45 Calendar October 2004 46 Restaurant Review4 7
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.502 | 0.412 |
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".