MétaCan
Menu
Back to cohort
Record W4237197553 · doi:10.1515/iupac.68.0077

Generalized Transition-State Theory

2016· dataset· en· W4237197553 on OpenAlexaff
Keith J. Laidler

Bibliographic record

VenueIUPAC Standards Online · 2016
Typedataset
Languageen
FieldPhysics and Astronomy
TopicAdvanced Thermodynamics and Statistical Mechanics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGlossaryTerminologyField (mathematics)Transition (genetics)State (computer science)Computer scienceManagement scienceLinguisticsMathematicsPhilosophyChemistryEngineeringAlgorithm

Abstract

fetched live from OpenAlex

This Glossary is a compilation of terminology recommendations in the field of chemical kinetics. Every effort has been made to include what appear to be the most commonly accepted definitions. Is is hoped that the Glossary will be a helpful guide to those who are writing books and articles in the field. The reader is warned, however, that alternative definitions of some of the terms, such as Adiabatic and Rate-Controlling Step, are frequently to be found in the scientific literature.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.070
Threshold uncertainty score0.235

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0700.084

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 head0.007
GPT teacher head0.355
Teacher spread0.348 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreDataset

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

Citations52
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueIUPAC Standards OnlineSame topicAdvanced Thermodynamics and Statistical MechanicsFrench-language works237,207