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Record W2971092171 · doi:10.1002/cctc.201901327

Cover Feature: Hydrosilylative Reduction of Tertiary Amides to Amines Catalyzed by <i>N</i>‐(Phosphinoaryl)anilido Complexes of Iron and Cobalt (ChemCatChem 16/2019)

2019· article· en· W2971092171 on OpenAlex
Dylan J. Hale, Luke J. Murphy, Robert McDonald, Michael J. Ferguson, Laura Turculet

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

VenueChemCatChem · 2019
Typearticle
Languageen
FieldChemistry
TopicAdvanced Synthetic Organic Chemistry
Canadian institutionsUniversity of AlbertaDalhousie University
Fundersnot available
KeywordsPhenylsilaneHydrosilylationAmideCatalysisChemistryCobaltAlkylReactivity (psychology)MetalPolymer chemistryMedicinal chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The Cover Feature depicts a three-coordinate (P,N)Fe-hexamethyldisilazide complex that functions as an effective pre-catalyst for the hydrosilylative reduction of tertiary amides to amines using phenylsilane as the reductant. In their Full Paper, Laura Turculet and co-workers detail the synthesis of this complex and related Fe and Co alkyl derivatives, and explore the scope of amide hydrosilylation catalysis mediated by such 3d-metal species. Rare examples of room temperature reactivity in the absence of photochemical activation involving the Fe-hexamethyldisilazide pre-catalyst (5 mol% Fe, 24 h) are reported. More information can be found in the Full Paper by Dylan J. Hale et al. on page 3818 in Issue 16, 2019 (DOI: 10.1002/cctc.201900550).

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 score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.004
GPT teacher head0.213
Teacher spread0.209 · 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