Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
National Ground Water Association (NGWA) Pharmaceuticals showing up in rivers downstream from sewage plants have raised concerns now that several public water systems have tested positive for drugs.Tap water in Wheeling, West Virginia, and the Ohio River tested positive for antibiotics according to USA Today November 7, 2000.A 17-year old high school student named Ashley Mulroy won the Stockholm Junior Water Prize for h er project which found three common antibiotics (penicillin, tetracycline, and vancomycin) in the river and more alarming, on tap.She is not the first researcher to find drugs on tap.Thomas Heberer of the University of Berlin, Germany, presented his findings of various drugs in tap water in last year's National Ground Water Association (NGWA) international conference on emerging issues.The NGWA conference held in Minneapolis, June 7-8, 2000, was covered on Minnesota Public Radio on "Morning Edition" June 8.Keynote Speaker Janet Raloff, author of "Drugged Waters," and Dana Kolpin of the U.S. Geological Survey were interviewed.Pharmaceuticals and endocrine disrupting chemicals in water sparked international interest as scientists from the United States (U.S.), Canada, England, and Germany attended the ground-breaking conference at the Hyatt Regency, Minneapolis.Largescale investigations are underway in over 100 of America's rivers and streams.Current drinking water standards do not require testing for any of the over 7,000 pharmaceutical compounds being prescribed, so why bother?
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it