Bibliographic record
Abstract
Asthma is an increasingly prevalent condition with both environmental and genetic influences. Only a handful of candidate genes showing direct association have been identified--and even fewer have provided any clear insight into the pathophysiology. In a study of three independent patient cohorts presenting with asthma or allergy from Finland and Canada, Laitinen et al. identified inherited single nucleotide polymorphism (SNP) haplotypes in a region of chromosome 7p. Genotyping of these risk-associating haplotypes helped to guide identification of a candidate gene encoding a G protein-coupled receptor, designated GPRA . This gene has coding SNPs that associate strongly with both asthma and the allergic phenotype, and apparently also cause alterations in expression--and possibly function--of the protein. T. Laitinen, A. Polvi, P. Rydman, J. Vendelin, V. Pulkkinen, P. Salmikangas, S. Mäkelä, M. Rehn, A. Pirskanen, A. Rautanen, M. Zucchelli, H. Gullstén, M. Leino, H. Alenius, T. Petäys, T. Haahtela, A. Laitinen, C. Laprise, T. J. Hudson, L. A. Laitinen, J. Kere, Characterization of a common susceptibility locus for asthma-related traits. Science 304 , 300-304 (2004). [Abstract] [Full Text]
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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 | 0.005 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.024 | 0.004 |
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".