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Record W2360333785

Effect of SiO_2 Buffer Layers on the Optical and Electrical Properties of Sb-doped SnO_2 Thin Films by Sol-gel Process

2012· article· en· W2360333785 on OpenAlex
Mengmeng Guan

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

VenueCailiao daobao · 2012
Typearticle
Languageen
FieldEngineering
TopicGas Sensing Nanomaterials and Sensors
Canadian institutionsScience North
Fundersnot available
KeywordsMaterials scienceDiffractometerElectrical resistivity and conductivityDopingThin filmSol-gelCrystalliteAnalytical Chemistry (journal)RutileMineralogyComposite materialChemical engineeringNanotechnologyOptoelectronicsScanning electron microscopeMetallurgyChromatographyChemistry
DOInot available

Abstract

fetched live from OpenAlex

The Sb-doped SnO2 thin films synthesized by a simple sol-gel method were investigated by means of X-ray diffractometer,visible spectrophotometer and 4-point probes resistivity measurements system.The samples were polycrystalline thin films with rutile structure of undoped SnO2.The results showed that the resistivities of the films decreased at first and then increased with increase of the doping concentration from 1% to 6%,and reached its minimum 8.7×10-3Ω·cm with the doping concentration of 5%.Further analysis indicated that with the increase of the thickness of the buffer layers,the square resistance of the thin films decreased and reached minimum 95Ω/□ and the resistivity reached 1.1×10-3Ω·cm with Sb-doped concentration of 5%.

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 score0.009
Threshold uncertainty score0.457

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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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