Supplementary Methods, Tables 2-3, Figures 1-6 from Molecular Signature of Smoking in Human Lung Tissues
Bibliographic record
Abstract
PDF file - 242K, Table S2. Clinical characteristics of patients in the first replication set (UBC). Table S3. Clinical characteristics of patients in the second replication set (Groningen). Figure S1. Volcano plots showing the impact of smoking, COPD, and lung cancer on gene expression in the lung. Figure S2. Comparison of gene expression recovery following smoking cessation between the discovery set (Laval) and UBC. Figure S3. Comparison of gene expression recovery following smoking cessation between the discovery set (Laval) and Groningen. Figure S4. Expression of SERPIND1 in lung parenchyma of smoker and never-smoker by immunochemistry. Figure S5. Enrichment plot for slowly reversible gene in UBC. Figure S6. Enrichment plot for slowly reversible gene in Groningen
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.790 | 0.339 |
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".