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Record W2112351203 · doi:10.1002/ppap.201300155

Depyrogenation by the Flowing Afterglow of a Reduced‐Pressure N<sub>2</sub>–O<sub>2</sub> Discharge (Gaseous Plasma Treatment)

2014· article· en· W2112351203 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePlasma Processes and Polymers · 2014
Typearticle
Languageen
FieldMedicine
TopicPlasma Applications and Diagnostics
Canadian institutionsUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAfterglowLipoteichoic acidLipopolysaccharideSterilization (economics)ChemistryBacteriaMicrobiologySporePlasmaBiophysicsImmunologyBiologyStaphylococcus aureus

Abstract

fetched live from OpenAlex

The presence of pyrogens in the human body can activate the immune system leading to pathological effects, such as fever, tissue damage, septic shock, possibly even death. This is a major concern in the pharmaceutical field where injectable solutions are widely used. The main pyrogens are the lipopolysaccharide (LPS) molecules from Gram‐negative bacteria and the lipoteichoic acid (LTA) from Gram‐positive bacteria. Conventional sterilization methods cannot fully inactivate these molecules. A significant decrease of the pyrogenic activity of both LPS and LTA is obtained after exposure to the flowing afterglow of a N 2 –O 2 discharge. We also investigated the level of pyrogenic activity ensuing from the inactivation of bacterial spores by the flowing afterglow.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score1.000

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 studies0.0000.000
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 head0.222
Teacher spread0.215 · 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