The genetic control of airway responsiveness and the effect of resiquimod treatment on allergic asthma
Bibliographic record
Abstract
A disintegrin and metalloprotease 33 AHR Airway hyperresponsiveness AR Airway responsiveness ASM Airway smooth muscle B C57BL/6 BAL Bronchoalveolar lavage BALF BAL fluid BCG Bacillus Calmette-Guérin CAMS cell adhesion molecules CCAC Canadian council on animal care Ccl chemokine (C-C motif) ligand CIHR Canadian institutes of health research CpG Unmethylated CG DNA CR Congo red CXCL chemokine (C-X-C motif) ligand DPP10 Dipeptidyl-peptidase 10 DSO Donor strain of origin EAE Experimental autoimmune encephalitis ECM Extracellular matrix Ers Respiratory system elastance FcεR Fc receptor, IgE Foxp3 Forkhead box P3 GAPDH Glyceraldehyde-3-phosphate dehydrogenase GPRA G protein-coupled receptor for asthma susceptibility GXD Gene expression database H&E Haematoxylin and eosin HCV Hepatitis C virus HPV Human papillomavirus IBD Identical by descent ICS Inhaled corticosteroids IDO Indoleamine 2,3-dioxygenase IFN Interferon Ig Immunoglobulin IL Interleukin Klr Killer cell lectin-like receptor contributed to experimental design, some sample manipulations, and/or editing of the manuscript.
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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".