Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract House dust mites live in house dusts and affect the health of humans. Among the many species, Dermatophagoides farinae, D. pteronyssinus, and Euroglyphus maynei have been found to be commonly associated with Ig-E-mediated allergic diseases. As a result, there is increasing effort to develop methods for the diagnosis and treatment of diseases caused by these species. The purpose of the current study was to explore the evolutionary relationships among house dust mites. After adult D. farinae were separated and isolated for total RNA extract, the cDNA coding for Der f 1 and Der f 2 were cloned and sequenced. Then amino acid sequences for group 1 and 2 allergens of two of the most common house dust mites, D. pteronyssinus, E. maynei, were obtained from databases. Interestingly, homological analysis of amino acid sequences showed that both Der p 1 and Der p 2 from D. pteronyssinus had more similarities to Eur m 1 and Eur m 2, respectively, than they had to Der f 1 and Der f 2 from D. farinae. In the phylogenetic trees, D. pteronyssinus clustered with E. maynei, but not with D. farinae, although D. pteronyssinus and D. farinae belong to the same genus according to morphological taxonomy. It was previously assumed that D. pteronyssinus was more similar to E. maynei than to D. farinae at evolutionary levels.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it