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Record W1847076557 · doi:10.1109/isaf.1990.200268

A pyroelectric PVdF temperature sensor for cryogenic temperatures

2002· article· en· W1847076557 on OpenAlexaff
H. D. Wiederick, J.A. Rody, Raymond J. Stockermans, Bhaskar Mukherjee

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGas Sensing Nanomaterials and Sensors
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsPyroelectricityFreonPolyvinylidene fluorideMaterials scienceThermometerAnalytical Chemistry (journal)Atmospheric temperature rangeTemperature coefficientCryogenic temperatureTemperature measurementPhase (matter)CryogenicsFerroelectricityComposite materialOptoelectronicsChemistryThermodynamicsChromatographyPhysicsDielectricPolymerOrganic chemistry

Abstract

fetched live from OpenAlex

Summary form only given. The authors used the pyroelectric properties of beta-phase polyvinylidene fluoride (PVdF) to construct a relatively fast response cryogenic thermometer. The temperature dependence of the pyroelectric coefficient of 9 mu m and 28 mu m PVdF films was measured over the temperature range from 20 K to 300 K. Repeated cycling of the films between room temperature and 20 K did not appear to damage the films or change the values of the pyroelectric coefficients. When a sample of lipids was dipped in Freon 12 at 115 K, the cooling rate was found to be 989 +or- 21 Ks/sup -1/. The results show that a thin PVdF film can be used as an accurate and cheap rapid-response temperature sensor at cryogenic temperatures.>

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: none
Teacher disagreement score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.007

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 head0.010
GPT teacher head0.180
Teacher spread0.170 · 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

Citations3
Published2002
Admission routes1
Has abstractyes

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