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Record W1972802468 · doi:10.1002/ppap.200790019

Plasma Process. Polym. 1/2008

2007· article· en· W1972802468 on OpenAlexaff
Jérôme Pollak, Michel Moisan, D. Kéroack, Jacynthe Séguin, Jean Barbeau

Bibliographic record

VenuePlasma Processes and Polymers · 2007
Typearticle
Languageen
FieldMedicine
TopicPlasma Applications and Diagnostics
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsGlow dischargeMaterials scienceDielectric barrier dischargeArgonComposite materialAnalytical Chemistry (journal)Sterilization (economics)PlasmaCover (algebra)Tube (container)DielectricChemistryChromatographyOptoelectronicsMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

Cover: The cover presents two SEM micrographs showing stacks of bacterial spores on the inner surface of a Teflon tube (i.d./o.d. 4/6 mm). Low‐damage sterilization is achieved using a glow‐discharge in flowing argon at reduced pressure, directly within the thermally‐sensitive dielectric tube. Further details can be found in the article by J. Pollak, M. Moisan,* D. Kéroack, J. Séguin, and J. Barbeau on page 14.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.861
Threshold uncertainty score0.465

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1390.081

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 head0.013
GPT teacher head0.274
Teacher spread0.262 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2007
Admission routes1
Has abstractyes

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