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IS PERTUSSIS IMMUNE GLOBULIN EFFICACIOUS FOR THE TREATMENT OF HOSPITALIZED INFANTS WITH PERTUSSIS?

2006· article· en· W2082211297 on OpenAlexaff
Scott A. Halperin, Wendy Vaudry, François D. Boucher, Kate Mackintosh, T. B. Waggener, Bruce R. Smith

Bibliographic record

VenueThe Pediatric Infectious Disease Journal · 2006
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsCentre hospitalier universitaire de QuébecUniversity of AlbertaDalhousie University
FundersU.S. Food and Drug Administration
KeywordsMedicineBordetella pertussisPlaceboWhooping coughApneaAnesthesiaRandomized controlled trialClinical trialInternal medicinePediatricsImmunologyVaccination

Abstract

fetched live from OpenAlex

In a multicenter, randomized, placebo-controlled clinical trial of pertussis immune globulin, intravenous (P-IGIV), 25 infants hospitalized with pertussis were enrolled in 24 months (15% of the target sample size) before the study was prematurely terminated because of expiration of the P-IGIV lots and unavailability of additional study product. Although well tolerated, there was no difference in the number or rate of improvement of symptoms (paroxysmal cough, whoop, apnea, bradycardia, oxygen desaturations) in P-IGIV recipients compared with placebo.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.231
Teacher spread0.224 · 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

Citations46
Published2006
Admission routes1
Has abstractyes

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