Bibliographic record
Abstract
目的：总结分析101例肌肉骨骼痛症治疗机在骨科临床应用。方法：使用广东湛江海滨医疗器械有限公司、医用冲击波研究所研制HB—ESWT一01型体外冲击波肌肉骨骼痛症治疗机治疗和常规物理及其他疗法治疗，肱骨外上髁炎20例、肩周炎24例、膝关节炎36例、跟骨痛21例，用简式McGill疼痛问卷（MPQ）和关节活动度（ROM）进行评估并比较临床疗效。结果：治疗后HB—ESWT一01型体外冲击波肌肉骨骼痛症治疗机在情感和总疼痛减轻上明显优于常规物理疗法治疗，且两种治疗方法在治疗次数上比较差异有非常显著性。结论：HB—ESWT一01型体外冲击波肌肉骨骼痛症治疗机在肱骨外上髁炎、肩周炎、膝关节炎、跟骨痛等疾病治疗快速安全有效。
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".