Research on Current Situation of Pharmaceutical Industry in Chinese Stock Market Through Stock Price Information
Bibliographic record
Abstract
After nearly ten years of development, China's stock market has become mature.During the decade of rapid development of the Chinese stock market, the prices of stocks have been undergoing constant changes.The pharmaceutical industry, a large segment of the Chinese stock market, has seen its stocks go through numerous ups and downs during the decade, which may be caused by external or internal factors.Based on stock price information, this paper focuses on the analysis of the current situation of China's pharmaceutical industry stocks and the prediction of future development trends.Using basic statistical analysis and linear analysis as tools, it is concluded that after two relatively strong increases in the stock price of China's pharmaceutical industry in the past ten years, there will be a rapid upward trend between 2021 and 2022, and a substantial increase in the latter part of 2022.Major emergencies will have a relatively strong impact on China's pharmaceutical industry (including chemical and biophar maceuticals, medical machinery, specialty medical, and pharmacy chains).
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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 | 0.003 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".