Clinical and scientific challenges in HIV-associated malignancies
Bibliographic record
Abstract
aKirby Institute for Infection and Immunity, University of New South Wales bSt Vincent's Hospital Sydney, Sydney, Australia cClinical AIDS Research and Education (CARE) Center, University of California Los Angeles, Los Angeles, California, USA Correspondence to Dr Mark N. Polizzotto, Kirby Institute for Infection and Immunity, Wallace Wurth Building, UNSW Australia, Sydney 2052, Australia. Tel: +61 2 9385 0900; fax: +61 2 9385 0955; e-mail: [email protected]; Dr Ronald T. Mitsuyasu, CARE Center, University of California Los Angeles, 11075 Santa Monica Boulevard, Suite 100, Los Angeles, CA 90025, USA. Tel: +1 310 825 3807; fax: +1 310 477 7657; e-mail: [email protected]
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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 | 0.026 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.008 | 0.015 |
| Insufficient payload (model declined to judge) | 0.010 | 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; 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".