Plenary XII The multicenter aids cohort study: 28+ years of collaboration, collegiality and science
Bibliographic record
Abstract
The Multicenter AIDS Cohort Study (MACS) was initiated with a request for proposals from National Institute on Allergies and Infectious Diseases to study AIDS among men who have sex with men. Five grants were awarded, four of which joined to form the MACS. These were Johns Hopkins University (P.I Frank Polk), Pittsburgh (P.I. Charles Rinaldo), Northwestern University (P.I. John Phair) and UCLA (P.I. Roger Detels). Two years later, the investigators, recognising the need for a data management center, convinced the NIH to fund the Johns Hopkins center, CAMACS (P.I. Alvaro Munoz). The MACS recruited 5000 men at the four centers from 1984 to 1985. The decision was made to examine the men every 6 months with an extensive interview, physical examination and collection of specimens (blood, saliva, semen) and to establish both a central repository and a local repository at each of the sites including serum, plasma, and cells). In 1989 and 2001 the MACS was expended to include primarily minority-Americans, the most involved group. The original group of investigators has been expanded to include several hundred investigators from elsewhere in the U.S., Canada and Europe. Any investigator submitting a request for data and/or specimens has access to the MACS data base and national repository upon approval of a concept by the MACS Executive Committee. The MACS has over 90 000 person years of follow-up and a repository of over 1 400 000 specimens, facilitating a wide range of virologic, immunologic, genetic, neurologic, treatment and psychosocial studies. To date the MACS has published almost 1300 papers in refereed scientific journals and has contributed significantly to our understanding of this tragic disease.
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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 | 0.013 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.100 | 0.049 |
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".