Chemotherapy Could Induce Antibiotic Resistance in E. Faecalis in Patients with Colorectal Cancer
Bibliographic record
Abstract
C olorectal cancer has become predominant cancer and now accounts for approximately 10% of cancer-related mortality in western countries (Kuipers et al., 2015).Colorectal cancer is the second-and third-most common cancer in women and men, respectively (Kuipers et al., 2015, Kuipers et al., 2013).Colorectal cancer (CRC) is the third most common mortality factor in Iran (Dolatkhah et al., 2015).The rate of an outbreak of CRC depended on the geographical regions (Khosravi Shadmani et al., 2017, Dolatkhah et al., 2015, Johnson et al., 2013).A high incidence of CRC has been observed in developed nations, such as the US, and Canada, and developing countries also continue increasing outbreak rates ( Jemal et al., 2010, Khosravi Shadmani et al., 2017).In Iran, the prevalence of the CRC has experienced the same growth as those of other Asian nations, with CRC accounting for 8.4% of all research
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".