Microsatellite alterations at 3p and 19q in EBC DNA of smokers: are they reversible after smoking cessation?: Table 1–
Bibliographic record
Abstract
Carcinogens in cigarette smoke may leave fingerprints in the bronchial tissue in the form of specific mutations that initiate cancer development [1]. Numerous genetic alterations have been recognised as critical effects of cigarette smoke and studied in the airways of current and former smokers. Microsatellite alterations (MAs) at 3p and 19q are among the most studied, being considered useful markers of genetic susceptibility and genome destabilisation in susceptible smokers [2, 3]. Instability and/or loss of heterozygosity at 3p and 19q have largely been reported in the lung tissue, sputum and blood of smokers and lung tumour patients [2, 4]. These mutations, which are considered an early effect of cigarette smoke, are dose-dependent and related to the number of cigarettes smoked in a lifetime [3]. In addition, short-term exposure to cigarette smoke seems to cause MAs at 3p that are not necessarily a consequence of the development of a neoplastic mass [5].
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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 | 0.001 |
| 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 | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".