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Record W2616461408 · doi:10.1002/anie.201704013

Cover Picture: Manganese Silylene Hydride Complexes: Synthesis and Reactivity with Ethylene to Afford Silene Hydride Complexes (Angew. Chem. Int. Ed. 22/2017)

2017· paratext· en· W2616461408 on OpenAlexaffabout
Jeffrey S. Price, David J. H. Emslie, James F. Britten

Bibliographic record

VenueAngewandte Chemie International Edition · 2017
Typeparatext
Languageen
FieldEnvironmental Science
TopicChemical Synthesis and Characterization
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHydrideSilyleneChemistryManganeseSilenePhotochemistryReactivity (psychology)MoleculeMedicinal chemistryHydrogenSiliconOrganic chemistry

Abstract

fetched live from OpenAlex

The reactions described by D. J. H. Emslie et al. in their Communication on page 6223 ff. start with manganese and hydrogen, and sequentially introduce silicon and carbon, provided by the inukshuk in the foreground, a stone landmark used by peoples of the Arctic region, including northern Canada. In the background is “Hounds Tooth” in British Columbia (Canada), with two silylene hydride molecules climbing towards the core of the final product, a silene hydride complex.

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.261
Threshold uncertainty score0.875

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2610.081

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 head0.013
GPT teacher head0.250
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
GenreOther

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

Citations0
Published2017
Admission routes2
Has abstractyes

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