Carcinogenic Factors of Breast Cancer in Female of Pakistan
Bibliographic record
Abstract
Among all forms of cancers, Breast cancer is the most common type of cancer in females worldwide. It is in fact the second leading causes of death among female population. However, incidence rate of breast cancer is higher among Pakistani females compare to other countries of Asia. The major factors that play important role in the development of breast carcinoma are the genetics and environment, the reproductive experience, the effect of endogenous and exogenous hormones in females and the change in immune status. However, in the Pakistani women hormonal factors including age of menarche, use of oral contraceptives, central obesity, family history, polycystic ovaries, nulliparity, late age at first pregnancy, smoking, alcohol consumption and lack of breast feeding are some of the most common risk factors developing breast cancer. Furthermore, the high prevalence of BRCA mutations indicates the importance of genetic counseling. Focus should be given to find out the genetic factors causing breast cancer in Pakistani population to elucidate the genetic cause leading to breast cancer development in order to prevent and decrease its incidence.
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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".