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Record W2791093395

The Quantity and Structural Quality of SP-A and SP-D Present in the Airways of Influenza-infected Patients

2010· dissertation· en· W2791093395 on OpenAlexfundno aff
Lauren Alison Bresner

Bibliographic record

VenueTSpace (University of Toronto) · 2010
Typedissertation
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchUniversity of Toronto
KeywordsQuality (philosophy)VirologyMedicineMicrobiologyImmunologyBiologyPhilosophyEpistemology
DOInot available

Abstract

fetched live from OpenAlex

Influenza A virus (IAV) is a major cause of morbidity and mortality worldwide. Surfactant proteins A and D (SP-A and SP-D) are important lung innate immune proteins and have been shown in vitro and in mice to both neutralize and enhance the clearance of various IAV strains. In this study we hypothesized that SP-A and SP-D levels will be lower in human bronchoalveolar lavage (BAL) fluids from patients who have tested positive for influenza, as well as bacterial or fungal pathogens compared to controls. We have found that patients who have detectable IAV, bacteria or fungus have lower levels of SP-A and SP-D as detected by western blot analysis and enzyme-linked immunosorbent assay (ELISA) when compared to controls. Also, we found minor differences in the oligomerization and no differences in the glycosylation of SP-A and SP-D among BALs that detected the proteins on a Western blot.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.366
Teacher spread0.322 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2010
Admission routes1
Has abstractyes

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