Houston Area HIV Services Ryan White Planning Council
Bibliographic record
Abstract
MEMBERS PRESENT MEMBERS ABSENT OTHERS PRESENT Morenike Giwa, Chair Roland Amboree, excused Kalvin Marshall, Greeter Ben Barnett, Vice-Chair David Benson, excused Teresa Presley Pruitt, Greeter Venita Ray Amber David, excused Cecilia Smith-Ross, Greeter Claudine Alexandre-McGill David Garner Ardry Boyle Ruth Atkinson Gabriel Gonzalez, excused Ramiro Hernandez Melody Barr Tracy Gorden, excused Ella Collins-Nelson Michael Bass Melvin Johnson Chevonne Potter, Bering Omega Community Services Bianca Burley Billie Lackins, excused Chris Escalante Ernesto Macias, excused STAFF PRESENT Jerry Garza Osaro Mgbere, excused Ryan White Grant Administration Linda Hollins Nancy Miertschin, excused Charles Henley J. Hoxi Jones Greg Monk, excused Carin Martin Januari Leo Lyla Ordonez, excused Heather Keizman Kevin Moore Ryan Rushing, excused Terrence Redix Dr. Beverlee Solomon The Resource Group Carl Tennill Eric Twombley, excused Anna Langford C. Bruce Turner Lena Williams, excused Nadine Wallace Office of Support David Watson Tori Williams Pat Weatherspoon Jen Hadayia Larry Woods Georgette L. Monaghan See the attached chart at the end of the minutes for individual voting information.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.679 | 0.336 |
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".