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Record W2325808374 · doi:10.1021/je5007423

Equilibrium Data of Gas Hydrates containing Methane, Propane, and Hydrogen Sulfide

2014· article· en· W2325808374 on OpenAlexafffund
Zachary T. Ward, Robert A. Marriott, Amadeu K. Sum, E. Dendy Sloan, Carolyn A. Koh

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIsochoric processChemistryHydrateClathrate hydratePropaneHydrogen sulfideMethaneThermodynamicsTernary operationPhase (matter)Atmospheric temperature rangeHydrogenAnalytical Chemistry (journal)Organic chemistry

Abstract

fetched live from OpenAlex

Phase equilibria data on mixed hydrogen sulfide hydrates reported in the literature are very limited, especially for sII hydrate forming mixtures with H 2 S. In this study, six binary CH 4 + H 2 S hydrate phase equilibria measurement results are reported in the temperature range from T = (283.31 to 293.22) K and pressure range from p = (2.00 to 6.8) MPa. Ten ternary CH 4 + C 3 H 8 + H 2 S sII hydrate phase equilibria measurement results are reported in the temperature range from T = (286.22 to 304.80) K and pressure range from p = (1.36 to 5.48) MPa. Experimental data were measured using the isochoric pressure search (IPS) method, which has been well established as a method for obtaining accurate hydrate phase equilibria data. Experimental data were compared to several hydrate phase equilibria prediction programs to assess their accuracy. For most models, predictions of the ternary sII hydrate system resulted in average absolute deviations in temperature of greater than 1 K.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.240
Teacher spread0.217 · 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 designObservational
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

Citations40
Published2014
Admission routes2
Has abstractyes

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