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Record W2028838121 · doi:10.1039/b810343g

Rationalization of Diels–Alder reactions through the use of the dual reactivity descriptor Δf(r)

2008· article· en· W2028838121 on OpenAlex

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

VenuePhysical Chemistry Chemical Physics · 2008
Typearticle
Languageen
FieldChemistry
TopicOrganic Chemistry Cycloaddition Reactions
Canadian institutionsMcMaster University
Fundersnot available
KeywordsRationalization (economics)Reactivity (psychology)Diels–Alder reactionDual (grammatical number)ChemistryAlderComputational chemistryOrganic chemistryPhilosophyCatalysisEpistemologyBiologyEcologyMedicine

Abstract

fetched live from OpenAlex

In this work, the dual descriptor of chemical reactivity, an electronic density-based index, is used to study both the regioselectivity and the stereoselectivity of Diels-Alder reactions. The descriptor has been designed to simultaneously delineate the nucleophilic and electrophilic sites within a molecule. Subsequent pairing between the nucleophilic and electrophilic regions of the reagents predicts the major adducts in all cases studied. Specifically, the descriptor predicts the generation of a ortho-regioisomer when a diene monosubstitued at position 1 by an Electron Donating Group (EDG)/Electron Withdrawing Group (EWG), reacts with a dienophile monosubtituted by an EWG/EDG. Under the same conditions, if the diene is monosubstituted by either an EWG or an EDG at position 2, formation of the para-oriented adduct is predicted. This approach also provides insight into the stereoselectivity. For example, secondary interactions between the non-reactive regions of the reactants explain why the endo stereoisomer is preferred.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.052
GPT teacher head0.247
Teacher spread0.195 · 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