MétaCan
Menu
Back to cohort
Record W2113817422 · doi:10.1002/ange.200901317

Chemoselektivität und die eigentümlichen Reaktivitäten funktioneller Gruppen

2009· article· de· W2113817422 on OpenAlex
Nicholas A. Afagh, Andrei K. Yudin

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 · 2009
Typearticle
Languagede
FieldBiochemistry, Genetics and Molecular Biology
TopicChemical Synthesis and Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

Abstract Mangelnde Chemoselektivität ist ein klassisches Problem der chemischen Synthese, und die Suche nach den richtigen Bedingungen, die unter oftmals vielfältigen Reaktionswegen den richtigen Mechanismus selektieren können, kennt jeder Praktiker als ein mühsames Unterfangen. Wir diskutieren in diesem Aufsatz verschiedene Aspekte der Chemoselektivität, die in den letzten rund zehn Jahren im Zusammenhang mit der Entwicklung diverser Synthesemethoden thematisiert worden sind. Unser Hauptaugenmerk gilt den Reaktionsmechanismen der zur Diskussion stehenden Prozesse, mit dem Versuch, diese zu kategorisieren und die Schlüsselkonzepte zu beleuchten, die aus diesen Studien hervorgegangen sind. Unsere Übersicht wird zeigen, dass erhebliche Fortschritte erzielt wurden, gleichzeitig aber noch große Herausforderungen vor uns liegen.

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)
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 score0.317
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.255
Teacher spread0.243 · 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