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Record W2166818516 · doi:10.1002/ange.200461698

Gasphasenkatalyse mit atomaren und Cluster‐Metall‐Ionen: ultimative “Single‐Site”‐Katalysatoren

2005· article· de· W2166818516 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

VenueAngewandte Chemie · 2005
Typearticle
Languagede
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsYork University
Fundersnot available
KeywordsChemistryPolymer chemistry

Abstract

fetched live from OpenAlex

Abstract Gasphasenexperimente mithilfe moderner massenspektrometrischer Methoden geben detaillierte Einblicke in vielerlei Elementarprozesse. Reaktionen, denen vollständige Katalysezyklen unter thermischen Bedingungen zugrunde liegen, bilden den Schwerpunkt dieses Aufsatzes. Die hier aufgeführten Beispiele decken Aspekte der Katalyse ab, die zu so unterschiedlichen Gebieten wie der Atmosphärenchemie und der Oberflächenchemie gehören. Wir werden beschreiben, wie atomare und Cluster‐Metall‐Ionen den Transfer von Sauerstoffatomen, die Aktivierung von Bindungen und die Kupplung von Fragmenten ermöglichen. Zum Teil zeigt die idealisierte Gasphasenkatalyse mit Ionen ungeahnte Analogien zu verwandten chemischen Prozessen in Lösung oder in Feststoffen, und wir lernen die intrinsischen Vorgänge an Katalysatoren auf rein molekularer Ebene besser zu verstehen.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.541
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.019
GPT teacher head0.282
Teacher spread0.263 · 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