A comparative study on incidence trends of prostate cancer in part of counties in Guizhou.
Bibliographic record
Abstract
[Objective] To investigate the epidemic characteristics of prostate cancer in part of counties in Guizhou. [Methods] Registration data about prostate cancer from 1994 to 2008 were collected,and data were collected from Dujun,Weng’an,Fuquan,Guiding,Longli,Huishui,Changshun,Dushan,Sandu,Libo,Luodian and Pingtang,and data were classified into three time periods(1994-1998,1999-2003 and 2004-2008) . The morbidity and mortality were analyzed by software Joinpoint Regression Program 3.3.1. The annual percentage variation of morbidity was calculated analyzed by log trans-formation linear regression analysis. [Results] The morbidity of prostate cancer in south area of Guizhou province from 994-1998,1999-2003 and 2004-2008 were 1.72,2.98 and 4.28 per 100000,and the morbidity presented increased trend. While the morbidity showed to be a low level compared with that in American,Canada and some counties in Europe. [Conclusion] The incidence of prostate cancer in China showed a significant increased trend year by year,and prostate cancer might be one of major cancers in China,and we should pay attention to it.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".