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Record W2091808130 · doi:10.3184/030823400103165608

On the Correlation between Δ <i>H</i> ‡ vs Δ <i>S</i> ‡ in the thermal <i>cis-to-trans</i> isomerization of azobenzenes

2000· article· en· W2091808130 on OpenAlex
Nigel J. Bunce, Christine L. Forber

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 Research · 2000
Typearticle
Languageen
FieldChemistry
TopicChemical Reaction Mechanisms
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsIsomerizationAzobenzeneKineticsThermalChemistryAlkylationPhotochemistryThermodynamicsPhysical chemistryOrganic chemistryPhysicsQuantum mechanicsMoleculeCatalysis

Abstract

fetched live from OpenAlex

Variable-temperature kinetics allow the determination of Δ H‡ vs Δ S‡ in a single experiment. Multiple variable-temperature data sets for the thermal isomerization of cis-azobenzene show an apparent isokinetic relationship, but this is due only to the mathematical correlation between Δ H‡ vs Δ S‡; the magnitude of the effect is almost identical to that observed for the thermal isomerization of a series of ortho-alkylated azobenzenes.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.018
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0010.000
Research integrity0.0000.002
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 head0.043
GPT teacher head0.333
Teacher spread0.289 · 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