CLINICIAN’S CORNERCOMMENTARIES Optimizing Primary Care for Men Who Have Sex With Men
Bibliographic record
Abstract
by issues related to human immunodeficiency virus (HIV) prevention and care. This focus onHIV remains critically im-portant; at least a quarter million MSM are living with HIV in theUnited States and approximately 20000morewill likely become infected this year.1 Nevertheless, the vast majority of MSM are not HIV-infected but still require high-quality medical care that is culturally competent and targeted to their needs. Unfortunately, themost comprehensive articles about themedical care ofMSMwho are notHIV-infected date from the dawnof theAIDS epidemicmore than 20 years ago.2 Cur-rent standard sources of practicalmedical information for pri-mary care practitioners do not sufficiently address the rou-tine care of MSM.3 This is true even though the Department of Health and Human Services ’ Healthy People 2010, a docu-ment produced each decade to outline national health goals
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.119 | 0.023 |
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".