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Record W2006294210 · doi:10.1021/ef060643l

Advances in Modeling of New Phase Growth

2007· article· en· W2006294210 on OpenAlexaff
Seyed Jalaladdin Hashemi, Jalal Abedi

Bibliographic record

VenueEnergy & Fuels · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSupersaturationNucleationHydrateBubbleMass transferSlurryPhase (matter)Growth rateClathrate hydrateThermodynamicsLimitingChemistryMaterials scienceMechanicsChromatographyMathematicsPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

The growth of the stationary new phase formed from supersaturated liquid has a significant role in many areas, such as the growth of bubbles in heavy oil and the growth of crystalline solids in hydrate engineering. The simplified governing equations for new phase growth in a solution have been formulated and solved for a single nucleate, assuming that mass transfer is the rate-limiting step. This problem is of interest to the heavy-oil solution gas drive process and gas transportation. Applications to the growth of the hydrate as a new phase in a hydrate−water slurry and bubble as a new phase in heavy oil were shown. It can also be applied to the analysis of the growth of a stationary gas bubble as a result of the mass transfer of one component from the liquid to the gas forming the bubble. The growth behavior of a single nucleate is needed in order to study population growth.

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)0.001
metaresearch head score (Gemma)0.003
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0030.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.012
GPT teacher head0.252
Teacher spread0.241 · 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

Citations19
Published2007
Admission routes1
Has abstractyes

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