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Record W7132960828

Energy transport to the interface during water evaporation

2007· dissertation· W7132960828 on OpenAlexaff
Ian Michael Thompson

Bibliographic record

VenueTSpace · 2007
Typedissertation
Language
FieldMaterials Science
TopicSurface Modification and Superhydrophobicity
Canadian institutionsCanadian HeritageLibrary and Archives Canada
Fundersnot available
KeywordsFunnelEvaporationConvectionMarangoni effectSaturation (graph theory)Vapor pressureEnergy balanceVaporizationLeidenfrost effect
DOInot available

Abstract

fetched live from OpenAlex

Purified evaporating water was investigated for the presence of thermocapillary convection by measuring the temperature field near a spherical interface maintained at the mouth of a polymethyl methacrylate funnel with a maximum height of 1 mm. Energy conducted to the interface met the energy requirements for evaporation at the observed rate. The lack of evidence of mixing at the liquid-vapor interface and the energy balance suggested thermocapillary convection was absent or supplied a negligible amount of energy. The Marangoni number, as defined by Pearson, was between 8,377 and 25,761, much larger than 80, the critical value for the onset of thermocapillary convection. Statistical rate theory was applied to determine the saturation vapor pressure. The results agreed with documented values within the measurement uncertainty. The vapor-phase pressure boundary for these experiments was approximately 120 Pa, below which ice formed at the liquid-vapor interface.

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)0.000
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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.341
Teacher spread0.318 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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