California Manufacturing Sector Grows at a Slower Rate
Bibliographic record
Abstract
ORANGE, CA -Based on a survey of purchasing managers, the California Composite Index, measuring overall manufacturing activity in the state, decreased from 70.4 in the third quarter to 67.3 in the fourth quarter, indicating that the manufacturing sector is expected to grow at the slower rate in the fourth quarter."The California manufacturing economy is expected to continue to grow in the last quarter of this year but at a rate below the record high of the third quarter due to lack of raw materials and components, and dramatically slower deliveries," said Dr. Raymond Sfeir, director of the purchasing managers' survey.Production, commodity prices, new orders, and employment are expected to grow at a lower rate in the fourth quarter.Supplier deliveries, on the other hand, are expected to slow at the highest rate ever recorded.The purchasing managers in most industries are unable to find employees to fill job openings, are short of raw materials, are facing huge increases in shipping costs and encountering very long delays in port deliveries.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.007 |
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".