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Record W2023565294 · doi:10.1103/physrevlett.90.035301

Liquid<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mmultiscripts><mml:mi mathvariant="normal">H</mml:mi><mml:mprescripts/><mml:none/><mml:mn mathvariant="normal">3</mml:mn></mml:mmultiscripts><mml:mi mathvariant="normal">e</mml:mi></mml:math>Thermomechanical Effect in Regular Cylinders

2003· article· lv· W2023565294 on OpenAlexaff
D Sawkey, J. P. Harrison

Bibliographic record

VenuePhysical Review Letters · 2003
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicQuantum, superfluid, helium dynamics
Canadian institutionsQueen's University
Fundersnot available
KeywordsMaterials scienceMonolayerScatteringCondensed matter physicsAnalytical Chemistry (journal)PhysicsChemistryOpticsNanotechnologyChromatography

Abstract

fetched live from OpenAlex

We have measured the normal liquid $^{\mathrm{3}}\mathrm{H}\mathrm{e}$ thermomechanical effect with the liquid confined in the regular 210 nm diameter cylinders of Anopore. The pressure difference resulting from the temperature difference was $\ensuremath{\Delta}P/\ensuremath{\Delta}T=25\text{ }\mathrm{P}\mathrm{a}/\mathrm{m}\mathrm{K}$, independent of temperature, from 0.7 to 12 mK. This value was $100\ifmmode\times\else\texttimes\fi{}$ the theoretical value and $3\ifmmode\times\else\texttimes\fi{}$ the result with a packed powder constriction. Two monolayers of $^{\mathrm{4}}\mathrm{H}\mathrm{e}$ did not change the value, but four monolayers reduced it by 2 orders of magnitude; the high value was therefore attributed to boundary scattering from magnetic $^{\mathrm{3}}\mathrm{H}\mathrm{e}$ surface layers.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.177
Threshold uncertainty score0.591

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1770.102

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 head0.014
GPT teacher head0.243
Teacher spread0.229 · 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 designSimulation or modeling
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

Citations1
Published2003
Admission routes1
Has abstractyes

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