First-half Year Report:Construction Machinery Listed Companies with Outstanding Performance
Bibliographic record
Abstract
2009 semi-anual report of listed companies was publicized a few days ago. Statistic data matches with the rise trend of China macro-economic in the first half of 2009. Although the overall performance of construction machinery companies declined compared with the same period of last year, for the data compared with last quarter, in the second quarter, it continued to increase after the growth of the first quarter. According to statistics, the first quarter of 2009 is 14.12 billion RMB, with the ring increasing of 8.1%, and the second quarter is 20.89 billion RMB, with the ring increasing of 47.9%. 14 companies’ net profit in the fourth quarter of 2008 is 289.4 million RMB. The first quarter of 2009 is 850.2 million RMB, with the ring increasing of 193.8%. The second quarter of 2009 is 1980.63 million RMB, with the ring increasing of 132.9%. It shows that 4 trillion investment, a series of policies to promote economic growth and loose monetary policy, clearly led to the warming of construction machinery industry.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.024 |
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".