Latent Class Analysis and the Need for Clear Reporting of Methods
Bibliographic record
Abstract
(See the Editorial Commentary by MacLean and Dendukuri on pages e2285–6.) After being infected by the tuberculosis bacteria, a relatively small proportion of people will go on to develop active tuberculosis. Without accurate diagnosis and timely treatment, these individuals risk suffering tuberculosis-related morbidity, further spreading tuberculosis in their communities, and even death [1]. Among people living with human immunodeficiency virus (PLHIV), the rate of latent tuberculosis infection (LTBI) progression to active disease is about 20 times higher than in seronegative individuals. Because tuberculosis is a leading cause of mortality in PLHIV, early detection...
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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 | 0.582 | 0.869 |
| Meta-epidemiology (narrow) | 0.001 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.007 | 0.033 |
| Scholarly communication | 0.021 | 0.021 |
| Open science | 0.010 | 0.013 |
| Research integrity | 0.023 | 0.069 |
| Insufficient payload (model declined to judge) | 0.006 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".