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Record W4404507187 · doi:10.1002/anie.202421733

Cover Picture: Mechanochemical Synthesis of Boroxine‐linked Covalent Organic Frameworks (Angew. Chem. Int. Ed. 51/2024)

2024· paratext· en· W4404507187 on OpenAlexaff
Ehsan Hamzehpoor, Farshid Effaty, Tristan H. Borchers, Robin S. Stein, Alexander Wahrhaftig‐Lewis, Xavier Ottenwaelder, Tomislav Friščić, Dmitrii F. Perepichka

Bibliographic record

VenueAngewandte Chemie International Edition · 2024
Typeparatext
Languageen
FieldMaterials Science
TopicCovalent Organic Framework Applications
Canadian institutionsConcordia UniversityMcGill University
Fundersnot available
KeywordsFront coverCover (algebra)Covalent bondMechanochemistryMaterials scienceNanotechnologyChemistryEngineeringOrganic chemistryMechanical engineering

Abstract

fetched live from OpenAlex

Mechanochemistry can be used in the synthesis of covalent organic frameworks (COFs), as reported by Xavier Ottenwaelder, Tomislav Friščić, Dmytro F. Perepichka et al. in their Research Article (e202404539). Based on this concept the first mechanochemical synthesis of boroxine-based 2D and 3D COFs with high surface area of up to 2,500 m2 g−1 was developed. The cover picture shows the structure of the monomers and the COF with the electron micrograph of the mechanochemically prepared COF in the background.

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 score0.278
Threshold uncertainty score0.931

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2780.079

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 head0.010
GPT teacher head0.266
Teacher spread0.256 · 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
Published2024
Admission routes1
Has abstractyes

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