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Record W2318716823 · doi:10.1021/je1005032

Spectrophotometric Determination and Linear Free Energy Relationship Analysis of Acidity Constants for 1,3-Diphenyltriazenes

2010· article· en· W2318716823 on OpenAlex
Herlina Lim, Huaibin Zhang, Mónica Barra

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 · 2010
Typearticle
Languageen
FieldChemistry
TopicChemical Reactions and Mechanisms
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsChemistryHammett equationTautomerEquilibrium constantDissociation constantTitrationFree-energy relationshipAcid dissociation constantPhysical chemistryComputational chemistryBond-dissociation energyDissociation (chemistry)ThermodynamicsReaction rate constantOrganic chemistryKinetics

Abstract

fetched live from OpenAlex

Acid dissociation equilibrium constants for substituted 1,3-diphenyltriazenes were determined by means of spectrophotometric titrations. Measured acidity constants correspond to macroscopic equilibrium constants, since target substrates display prototropic tautomerism. Interestingly, experimental acidity constants for both symmetrically and unsymmetrically substituted 1,3-diphenyltriazenes obey a linear Hammett equation, implying that the Hammett reaction constants corresponding to substitution at the azo and amino phenyl sites are experimentally indistinguishable.

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)0.000
metaresearch head score (Gemma)0.004
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 score0.052
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.279
Teacher spread0.251 · 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