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Record W4362419163 · doi:10.1158/0008-5472.22394693.v1

Supplementary Methods, Tables 2-3, Figures 1-6 from Molecular Signature of Smoking in Human Lung Tissues

2023· preprint· en· W4362419163 on OpenAlexaboutno aff
Yohan Bossé, Dirkje S. Postma, Don D. Sin, Maxime Lamontagne, Christian Couture, Nathalie Gaudreault, Philippe Joubert, Vivien Wong, Mark Elliott, Maarten van den Berge, Corry‐Anke Brandsma, Catherine Tribouley, Vladislav A. Malkov, Jeffrey A. Tsou, Gregory J. Opiteck, James C. Hogg, Andrew J. Sandford, Wim Timens, Peter D. Paré, Michel Laviolette

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsnot available
Fundersnot available
KeywordsLung cancerHuman lungGene expressionPlot (graphics)Replication (statistics)COPDGeneBiologyMedicineLungOncologyInternal medicineGeneticsMathematicsStatistics

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.790
Threshold uncertainty score0.300

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.005
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0040.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.7900.339

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.

Opus teacher head0.025
GPT teacher head0.362
Teacher spread0.337 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
Domainnot available
GenreMethods

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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