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Record W2040232528 · doi:10.1542/peds.2011-3416

Newborn Dried Blood Spot Screening: Residual Specimen Storage Issues

2012· letter· en· W2040232528 on OpenAlexaboutno aff
Bradford L. Therrell, W. Harry Hannon

Bibliographic record

VenuePEDIATRICS · 2012
Typeletter
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDried blood spotDried bloodResidualChromatography

Abstract

fetched live from OpenAlex

Traditional newborn dried blood spot screening (NDBS) has expanded in recent years to include upwards of 50 different conditions in many states. Once the screening tests are complete, the residual blood specimens (RBSs) that remain are most often available for quality assurance and public health research. The articles by Botkin et al1 and Bombard et al2 contained in this issue of Pediatrics investigate the attitudes of parents in both the United States ( n = 3855) and Canada ( n = 66) toward program policies that allow for the possible storage and secondary use of RBSs. Figure 1 illustrates the variability in the United States regarding the length of time RBSs are currently stored. Currently, 14 programs save RBSs for ≥21 years, and these programs serve ∼45% of all US births. Although the need for RBSs for laboratory quality assurance, which may include long-term needs, is generally understood (and accepted), the way in which programs disclose (or fail to disclose) information about these uses and the manner by which parents may choose to opt in or out of RBS storage and/or potential research uses are the subject of much discussion and controversy. FIGURE 1 Storage time for RBSs in … Address correspondence to Bradford L. Therrell, Jr, MS, PhD, National Newborn Screening and Genetics Resource Center, 1912 W. Anderson Lane #210, Austin, TX 78757. E-mail: therrell{at}uthscsa.edu

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.541
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0050.022
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.331
GPT teacher head0.492
Teacher spread0.161 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations17
Published2012
Admission routes1
Has abstractyes

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