MétaCan
Menu
Back to cohort
Record W2041430572 · doi:10.1080/02656730310001657738

Changes in the dielectric properties of rat prostate<i>ex vivo</i>at 915 Mhz during heating

2004· article· en· W2041430572 on OpenAlexaff
Lee Chin, M.D. Sherar

Bibliographic record

VenueInternational Journal of Hyperthermia · 2004
Typearticle
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsWestern UniversityPrincess Margaret Cancer CentreLondon Health Sciences CentreUniversity of TorontoOntario Institute for Cancer Research
FundersNational Cancer Institute
KeywordsDielectricMaterials scienceMicrowaveEx vivoPermittivityProstateProstate cancerAtmospheric temperature rangeMicrowave heatingConductivityElectrical resistivity and conductivityNuclear magnetic resonanceDielectric permittivityDielectric heatingRelative permittivityIn vivoAnalytical Chemistry (journal)Thermal conductivityBiomedical engineeringChemistryOptoelectronicsComposite materialMedicineCancerThermodynamicsInternal medicineElectrical engineeringChromatographyBiologyTelecommunications

Abstract

fetched live from OpenAlex

Changes in the tissue dielectric properties at 915 MHz of rat prostate tissue due to heating at temperatures in the range 45-75 degrees C were measured. The changes were found to be reversible with temperature and independent of the time of heating. The dielectric properties at 23 +/- 1 degrees C were measured as epsilon' = 62.8 +/- 2.7 and sigma = 1.17 +/- 0.07 S/m, while the linear temperature coefficients for reversible changes were 1.10 +/- 0.11%/ degree C for conductivity and -0.31 +/- 0.05% /degree C for relative permittivity. These properties and their temperature coefficients can be utilized in microwave treatment planning programmes to provide insight into the effects of dielectric changes that arise during microwave thermal therapy of prostate cancer.

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 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 score0.015
Threshold uncertainty score0.331

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 head0.010
GPT teacher head0.210
Teacher spread0.200 · 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 teacher head, 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

Citations25
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of HyperthermiaSame topicUltrasound and Hyperthermia ApplicationsFrench-language works237,207