Bibliographic record
Abstract
To support a junior faculty member in the specialty of allergy, asthma and immunology. Funding is to support research in basic and/or clinical allergy and immunology and to promote the specialty. Sponsor Allergy, Asthma & Immunology Education and Research Organization, Inc. (ARTrust™). The mission of the ARTrust ™ is to find treatments and cures for the millions of people suffering from allergies, asthma and other immunologic diseases through funding of education and research. Amount Total is $300,000.00. Award is paid $100,000 a year for three years starting July 1, 2013. Support for the second and third year is contingent upon receipt by the ARTrust ™ of a satisfactory annual report. The award money may be used for salary, services and supplies. Maximum salary support is $100,000 per year. Funds may not be used for institutional indirect costs. Eligibility Those faculty members who have received their faculty appointments, either Instructor or Assistant Professor, since July 1, 2009 are eligible to apply. This award is intended for MDs and DOs, but in unusual circumstances, PhDs will be considered. Applicants must be U.S. or Canadian citizens, and must either be AAAAI members or submit a membership application with the award application. Applicants may be current recipients of NIH K08 awards, or faculty development foundation grants (ALA, Cystic Fibrosis, AHA, etc), but may not be current recipients of NIH R01 awards or be PI of a project on an NIH program project. Past ARTrust ™ Award recipients are not eligible.
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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.385 | 0.146 |
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".