Identification Of Specific Ige In Asthmatic Patients In Iraq
Bibliographic record
Abstract
A sample of 52 patients were studied to measure IgE level by ELISA. The allergens diagnosis is sometimes carried out by going through the medical history of people & discovering the positive results for allergens presence. The goal is to decrease Bronchial hyper responsiveness and initiate a program of preventive therapy with education of patients to what to avoid (i.e. according to the test performed [specific IgE]. Specific IgE while carrying out blood test or skin test, and specific IgE testing is considered a confirmed test for the detection of allergy. All patients in the current sample are asthmatic attending Al-Zahraa Allergic Center in Al-Karkh Hospital. The level of IgE of 20 different allergens was measured in those patients. The result was positive for Dermatophagoides farina in 25 patients and Birch pollen was positive in 22 patients while Alder pollen was positive in 22 patients so as for Plantain pollen. This result was comparable to USA and Canada studies.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".