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Record W4281250611 · doi:10.1515/pac-2018-1010

Glossary of terms used in physical organic chemistry (IUPAC Recommendations 2021)

2022· article· en· W4281250611 on OpenAlexaff
Charles L. Perrin, Israel Agranat, Alessandro Bagno, Silvia E. Braslavsky, Pedro Alexandrino Fernandes, Jean‐François Gal, Guy C. Lloyd‐Jones, Herbert Mayr, Joseph R. Murdoch, Norma Sbarbati Nudelman, Leo Radom, Zvi Rappoport, Marie‐Françoise Ruasse, Hans‐Ullrich Siehl, Yoshito Takeuchi, Thomas T. Tidwell, Einar Uggerud, Ian H. Williams

Bibliographic record

VenuePure and Applied Chemistry · 2022
Typearticle
Languageen
FieldChemistry
TopicHistory and advancements in chemistry
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGlossaryChemical nomenclatureChemistryTerminologyMeaning (existential)Field (mathematics)EpistemologyOrganic chemistryLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract This Glossary contains definitions, explanatory notes, and sources for terms used in physical organic chemistry. Its aim is to provide guidance on the terminology of physical organic chemistry, with a view to achieving a consensus on the meaning and applicability of useful terms and the abandonment of unsatisfactory ones. Owing to the substantial progress in the field, this 2021 revision of the Glossary is much expanded relative to the previous edition, and it includes terms from cognate fields.

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)0.003
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.178
Threshold uncertainty score0.595

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0120.014
Science and technology studies0.0020.002
Scholarly communication0.0060.006
Open science0.0030.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.1780.156

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 head0.008
GPT teacher head0.244
Teacher spread0.236 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations141
Published2022
Admission routes1
Has abstractyes

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