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Record W1965477322 · doi:10.1021/je600556d

Measurement of Low Air−Water Partition Coefficients of Organic Acids by Evaporation from a Water Surface

2007· article· en· W1965477322 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Chemistry and Analysis
Canadian institutionsTrent University
Fundersnot available
KeywordsPartition coefficientIsothermal processChemistryEvaporationActivity coefficientFormic acidAnalytical Chemistry (journal)ThermodynamicsChromatographyAqueous solutionPhysical chemistry

Abstract

fetched live from OpenAlex

A novel system is described for the determination of the air−water partition coefficient ( K AW ) for substances that have low air−water partition coefficients, i.e., K AW < 10 -3, and may aggregate in solution, ionize, and display surface activity. The compound is evaporated isothermally from solution through an undisturbed air−water interface at a known gas flow rate, and its concentrations in the water and gas phases are measured. Although equilibrium is not achieved, the extent of departure from equilibrium can be determined using estimated mass transfer coefficients. K AW was determined for formic, acetic, benzoic, and perfluorooctanoic acids (PFOA), and assuming an approximately 50 % approach to equilibrium, which is in accord with theoretical prediction. Agreement with available literature data was satisfactory. The experimentally determined K AW of PFOA was 1.02·10 -3 with a standard deviation of 9.1 % ( n = 9). The method is suitable for fluorinated surfactants, aggregating and ionizing substances for which K AW may not be readily measured with existing techniques.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.011
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.009
GPT teacher head0.196
Teacher spread0.188 · 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