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Record W2136532596 · doi:10.5539/apr.v3n1p89

Palladium – Doped ZnO Thin Film Hydrogen Gas Sensor

2011· article· en· W2136532596 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueApplied Physics Research · 2011
Typearticle
Languageen
FieldEngineering
TopicGas Sensing Nanomaterials and Sensors
Canadian institutionsnot available
Fundersnot available
KeywordsPalladiumMaterials scienceDopingHydrogenThin filmSubstrate (aquarium)Hydrogen sensorChemical engineeringPyrolysisHydrogen chlorideAnalytical Chemistry (journal)Inorganic chemistryNanotechnologyCatalysisOptoelectronicsChromatographyChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Palladium – doped ZnO thin film was deposited by chemical spray pyrolysis on glass substrate to be a fast hydrogen gas sensor. The prepared ZnO films were doped by dipping in palladium chloride PdCl2 dissolved in ethanol C2H5OH. The optical properties and the surface morphology of the prepared films were studied. The sensitivity and response time behaviors of the ZnO – based gas sensor to hydrogen gas were investigated. The film sensitivity dependence on the temperature and test gas concentration were tested and the optimum operation temperature was determined at around 280 oC. The response time of 2-3 s of the doped ZnO film was highly improved compared to the slow response of few minutes of the traditional ZnO hydrogen gas sensors.

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 categoriesInsufficient payload (model declined to judge)
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 score0.119
Threshold uncertainty score0.999

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)0.0000.002

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 head0.073
GPT teacher head0.274
Teacher spread0.201 · 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