“Unintentional” Acetaminophen Overdose on the Rise: Who is Responsible?
Bibliographic record
Abstract
Dr Fontana has been a leading investigator in the US Acute Liver Failure Study Group (ALFSG) for the past eight years. He is currently the Chair of the Ancillary Studies Committee and principal investigator of the long-term outcomes study of ALFSG patients. Dr Fontana is also a site investigator at the National Institutes of Health Drug Induced Liver Injury Network, which is prospectively enrolling patients with idiosyncratic drug hepatotoxicity due to prescription or complementary and alternative medicines (see http://dilin.dcri.duke.edu/ for further information). PA: Tell us about the US ALFSG. RJF: The US ALFSG is a network of 23 clinical sites and investigators interested in improving our understanding of the causes and outcomes of acute liver failure (ALF). Because ALF is an uncommon illness in western countries, with an estimated annual incidence of only one per 100,000 (ie, 2500 cases per year in the US), a multicentre network of referral centres provides a practical means to study this rare but potentially devastating illness. The University of Texas Southwestern Medical Center at Dallas (US), under the leadership of William Lee, MD serves as the lead site and datacoordinating centre. We currently have an ongoing therapeutic trial of intravenous N-acetylcysteine versus placebo for non-acetaminophen (ACM)-induced ALF, and there are tentative plans to conduct a future study of moderate hypothermia in ALF patients with advanced encephalopathy. Recently, the adult ALFSG was renewed as a National Institutes of Health cooperative agreement through 2010, and Canada is now represented through the University of Toronto (Toronto, Ontario) with Les Lilly, MD as the site investigator.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".