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Record W1995080534 · doi:10.1080/10601325.2012.630928

Doped Polyaniline for the Detection of Formaldehyde

2012· article· en· W1995080534 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.

Bibliographic record

VenueJournal of Macromolecular Science Part A · 2012
Typearticle
Languageen
FieldEngineering
TopicAdvanced Chemical Sensor Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsFormaldehydePolyanilineNon-blocking I/OSelectivityDetection limitDopingMaterials scienceNuclear chemistryChemistryChemical engineeringChromatographyPolymerOptoelectronicsOrganic chemistryCatalysisComposite materialPolymerization

Abstract

fetched live from OpenAlex

Polyaniline (PANI) and PANI doped with NiO and/or Al2O3 were tested for their sensing properties towards formaldehyde. It was found that at concentrations above 1 ppm, PANI doped with 5% NiO and 15% Al2O3 had both the sensitivity and selectivity needed, whereas, below 1 ppm, PANI doped with 15% NiO had the sensitivity, but not the selectivity required. By combining both sensing materials into one sensor, a highly sensitive and selective sensor could be made for the detection of formaldehyde at very low concentrations at the toxicity limit of 0.08 ppm.

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 categoriesnone
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 score0.199
Threshold uncertainty score0.172

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 head0.011
GPT teacher head0.246
Teacher spread0.235 · 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