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Record W4410083004 · doi:10.1002/cjce.25754

Confidence interval on the activation energy obtained from differential isoconversional methods

2025· article· en· W4410083004 on OpenAlex
Alireza Aghili, Amir Hossein Shabani, Vahid Arabli

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2025
Typearticle
Languageen
FieldMaterials Science
TopicThermal and Kinetic Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsConfidence intervalDifferential (mechanical device)Activation energyEnergy (signal processing)MathematicsInterval (graph theory)StatisticsMaterials scienceThermodynamicsChemistryPhysicsOrganic chemistryCombinatorics

Abstract

fetched live from OpenAlex

Abstract In complex condensed phase reactions, the effective activation energy depends on both conversion degree and temperature. In our previous research, we introduced a modification to the Friedman method allowing for the calculation of activation energy as a function of conversion and temperature. In this study, we introduced an approach based on the least squares method to assess the confidence interval for activation energy obtained from the traditional and modified Friedman methods. The variance of the activation energy in the modified Friedman approach is estimated using the delta method. Additionally, we have presented a criterion for comparing and assessing the accuracy of results obtained through both conventional and modified isoconversional techniques. The proposed method was applied to the kinetic data of a simulated reaction and the thermal degradation of polyethylene to evaluate their activation energies and corresponding confidence intervals. GNU Octave/MATLAB codes were provided for evaluating activation energy and its confidence interval using both isoconversional methods.

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)0.000
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 score0.086
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.009
GPT teacher head0.225
Teacher spread0.216 · 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