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Record W2026659190 · doi:10.1051/jp4:2005125064

Measurements of thermal diffusivity of water-alcohol mixtures using a thermal-wave resonator cavity

2005· article· fr· W2026659190 on OpenAlex
Anna Matvienko, Andreas Mandelis

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

VenueJournal de Physique IV (Proceedings) · 2005
Typearticle
Languagefr
FieldEngineering
TopicThermography and Photoacoustic Techniques
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsThermal diffusivityPhotothermal therapyResonatorMaterials scienceThermalSIGNAL (programming language)DemodulationSensitivity (control systems)Phase (matter)OpticsChemistryOptoelectronicsThermodynamicsElectronic engineeringNanotechnologyPhysics

Abstract

fetched live from OpenAlex

A photothermal technique for ultra-high resolution measurements of thermal diffusivity of liquid mixtures was developed. Frequency scan experiments using the thermal-wave resonator cavity (TWRC) method [1] were performed. A theoretical model describing the one-dimensional temperature field within the cavity was developed. Comparison between the theoretical and experimental data for signal amplitude and phase in water shows excellent agreement. To achieve the ultra-high sensitivity of the measurements for liquid mixtures at low concentrations we modified the thermal-wave resonator cavity method coupling it with a signal common-mode rejection demodulation (CMRD) scheme [2]. This non-conventional technique has shown sensitivity of the photothermal signal to methanol in water at the level of 0.25% by volume.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.015
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.034
GPT teacher head0.255
Teacher spread0.221 · 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