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Record W2094337466 · doi:10.1002/ppap.200600093

Chemically Resolved Depth Profiles Extracted from ARXPS Data Taken on Polystyrene Surfaces Exposed to Nitrogen Plasmas

2007· article· en· W2094337466 on OpenAlex
R.W. Paynter, David Roy-Guay

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 · 2007
Typearticle
Languageen
FieldMaterials Science
TopicElectron and X-Ray Spectroscopy Techniques
Canadian institutionsUniversité de SherbrookeInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPolystyreneNitrogenX-ray photoelectron spectroscopyPlasmaAnalytical Chemistry (journal)Carbon fibersMaterials scienceSpectral lineSpectroscopyElemental analysisOxygenChemistryInorganic chemistryComposite numberChemical engineeringEnvironmental chemistryPolymerComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Polystyrene samples were exposed to a nitrogen plasma for 30 s, 1, 2, and 4 min, and analyzed by angle‐resolved photoelectron spectroscopy. Oxygen and nitrogen adatom depth profiles were extracted from the elemental peak intensities using a maximum entropy method. The same method was used to extract chemically resolved carbon‐adatom depth profiles by peak fitting the C1s spectra. The elemental nitrogen and carbon‐adatom depth profiles were observed to evolve initially and then stabilize for plasma exposures of 2 min and more. A comparison of the elemental and chemically resolved depth profiles provided an additional information on the evolution of the carbon‐adatom bonding as a function of plasma duration. magnified image

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 score0.015
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 science0.0010.000
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 head0.029
GPT teacher head0.283
Teacher spread0.254 · 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