The Quantiferon®-TB Gold In-Tube Assay Detects Interferon- Release Responses to Mycobacterium Tuberculosis Antigens for Extended Periods of Time
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
The development and wide usage of interferon (IFN)-γ release assays (IGRAs) brought remarkable advances in the diagnosis of tuberculosis (TB). QuantiFERON®-TB Gold In-Tube (QFT-GIT), one of the IGRAs, employs three TB antigens, ESAT-6, CFP-10, and TB7.7, to which cell-mediated immune responses are measured in a single tube. In this regard, the QFT-GIT in patients with active TB was hypothesized to detect TB positivity for a longer period after the initiation of treatment. The change of IFN-γ values in patients with pulmonary TB serially registered to the study was examined with QFT-GIT before initiating anti-TB drugs, after completion of treatment and 12 months after the cessation of treatment. The data demonstrates that the IFN-γ levels remained consistently positive for a period of one year after treatment.
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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 | 0.001 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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 it