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Record W1995713599 · doi:10.1002/elan.200703936

Evaluation of GaN and In<sub>0.2</sub>Ga<sub>0.8</sub>N Semiconductors as Potentiometric Anion Selective Electrodes

2007· article· en· W1995713599 on OpenAlexaff
Rozalina Dimitrova, Lionel J.J. Catalan, Dimiter Alexandrov, Aicheng Chen

Bibliographic record

VenueElectroanalysis · 2007
Typearticle
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsLakehead University
Fundersnot available
KeywordsElectrodePotentiometric titrationElectrolyteIonMaterials scienceAnalytical Chemistry (journal)Polarization (electrochemistry)AnodeSemiconductorSapphireInorganic chemistryChemistryOptoelectronicsPhysical chemistryOpticsChromatography

Abstract

fetched live from OpenAlex

Abstract The response of potentiometric anion selective electrodes consisting of undoped GaN or In0.2Ga0.8N films grown on Al2O3 (sapphire) was measured in electrolyte solutions of F−, NO3−, Cl−, SCN−, ClO4− or Br− anions at concentrations ranging from 10−6 to 10−1 M. The slope of the linear regions varied between −32.8 and −51.9 mV/decade for the GaN electrode and between −31.0 and −72.0 mV/decade for the In0.2Ga0.8N electrode. The drift of the GaN electrode reached 1.57 mV/day in KNO3 solutions, whereas the drift of the In0.2Ga0.8N electrode could not be evaluated due to large drops in the slope of its linear range over time. Both electrodes were sensitive to pH variations over the pH range from 12.8 to 1.3. The GaN electrode surface could be electrochemically etched under anodic polarization; however, both GaN and In0.2Ga0.8N electrodes remained chemically stable and mechanically intact under open circuit conditions even after prolonged use.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.012
GPT teacher head0.256
Teacher spread0.244 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations5
Published2007
Admission routes1
Has abstractyes

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