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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 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

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 In 0.2 Ga 0.8 N films grown on Al 2 O 3 (sapphire) was measured in electrolyte solutions of F − , NO 3 − , Cl − , SCN − , ClO 4 − 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 In 0.2 Ga 0.8 N electrode. The drift of the GaN electrode reached 1.57 mV/day in KNO 3 solutions, whereas the drift of the In 0.2 Ga 0.8 N 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 In 0.2 Ga 0.8 N 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.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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