Conclusions and Recommendations of the Expert Panel: Technical Workshop on Human Milk Surveillance and Biomonitoring for Environmental Chemicals in the United States
Bibliographic record
Abstract
We thank the following organizations for generously providing support for the workshop: the AmericanChemistry Council; the Centers for Disease Control and Prevention (C13/CCU323635-01); the Departmentof Health and Human Services, Health Resources and Services Administration (HHSH240200415021P);Health Canada (H405-03-ExSD079/4500078209); 3M; Pennsylvania State University College of Medicine;the Research Foundation for Health and Environmental Effects; and the U.S. Environmental ProtectionAgency, Office of Children’s Health (CH-83213101-0).The opinions expressed in this article are those of the authors and do not necessarily reflect the viewsand/or policies of their affiliations.Address correspondence to Cheston M. Berlin, Jr., MD, Department of Pediatrics Children’s Hospital,Milton S. Hershey Medical Center, Pennsylvania State University College of Medi cine, M.C. HO85, PO Box850, Hershey, PA 17033, USA. E-mail: cmb6@psu.edu
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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 | 0.000 |
| 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 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".