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Record W2078491826 · doi:10.1159/000243114

A Study into the Nature and Organ Source of Digoxin-Like Immunoreactive Substance(s) in the Perinatal Period

2009· article· en· W2078491826 on OpenAlexaff
David Seccombe, Morris Pudek, Karin H. Humphries, Beryl Ellen Matthewson, Glenn Taylor, Beryl Jacobson, Michael P. Whitfield

Bibliographic record

VenueBiology of the Neonate · 2009
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsBC Children's HospitalShaughnessy HospitalVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsDigoxinAutopsyFractionationMeconiumKidneyEndocrinologyInternal medicineChemistryMicrogramFetusMedicineBiologyPregnancyChromatographyBiochemistry

Abstract

fetched live from OpenAlex

Digoxin-like immunoreactive substance(s) (DLIS) was isolated from sera and autopsy-derived tissue obtained from premature and full-term neonates. The highest tissue level of DLIS was in the small bowel followed by the adrenal, gallbladder and liver. Of the fluids examined, meconium had the highest level of DLIS. Preparative high performance liquid chromatography fractionation of cord blood generated at least six different fractions which not only contained DLIS material but also inhibited canine kidney Na+/K+-ATPase activity. Recovery/inhibition studies indicated that 72% of the canine kidney Na+/K+-ATPase inhibition within one fraction could be accounted for on the basis of progesterone content of the fraction.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.343
Teacher spread0.325 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2009
Admission routes1
Has abstractyes

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