MétaCan
Menu
Back to cohort
Record W2028394323 · doi:10.1021/je800527p

Volumetric Properties of Tripeptides with Polar Side-Chains: Partial Molar Volumes at (288.15 to 313.15) K and Partial Molar Expansions at 298.15 K of Some Peptides of Sequence Gly-X-Gly in Aqueous Solution

2008· article· en· W2028394323 on OpenAlexaff
D.C. Parr, Gavin R. Hedwig, Andrew W. Hakin

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2008
Typearticle
Languageen
FieldChemical Engineering
TopicThermodynamic properties of mixtures
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsChemistryTripeptideDilutionAmino acidMolarHistidineAqueous solutionGlycinePartial molar propertyQuinazolinoneGlutamineSerineIsobaric processStereochemistryChromatographyOrganic chemistryThermodynamicsBiochemistry

Abstract

fetched live from OpenAlex

Solution densities have been determined for aqueous solutions of the tripeptides of sequence glycyl-X-glycine, where X is one of the amino acids serine, threonine, asparagine, glutamine, cysteine, histidine, and tyrosine, at T = (288.15, 303.15, and 313.15) K. These solution densities were used to calculate the partial molar volumes at infinite dilution, V 2 °, for the tripeptides. The V 2 ° results were combined with those determined in previous work for T = 298.15 K to obtain the partial molar isobaric expansions at infinite dilution, E 2 ° { E 2 ° = (∂ V 2 ° /∂ T ) p }, for the tripeptides at T = 298.15 K. The contribution of amino acid side-chain hydration to the E 2 ° results has been discussed.

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 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)0.000
metaresearch head score (Gemma)0.002
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 score0.116
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.030
GPT teacher head0.222
Teacher spread0.192 · 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 teacher head, not a consensus.

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

Citations11
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Chemical & Engineering DataSame topicThermodynamic properties of mixturesFrench-language works237,207