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Record W2763035523 · doi:10.1002/chem.201703297

Cover Feature: Tandem In Situ Monitoring for Quantitative Assessment of Mechanochemical Reactions Involving Structurally Unknown Phases (Chem. Eur. J. 56/2017)

2017· article· en· W2763035523 on OpenAlexaff
Stipe Lukin, Tomislav Stolar, Martina Tireli, María Valeria Blanco, Darko Babić, Tomislav Friščić, Krunoslav Užarević, Iván Halász

Bibliographic record

VenueChemistry - A European Journal · 2017
Typearticle
Languageen
FieldMaterials Science
TopicX-ray Diffraction in Crystallography
Canadian institutionsMcGill University
Fundersnot available
KeywordsRaman spectroscopyTandemIn situCover (algebra)DiffractionChemistrySpectroscopyReaction mechanismMaterials scienceNanotechnologyOpticsPhysicsOrganic chemistryEngineeringCatalysisComposite materialMechanical engineering

Abstract

fetched live from OpenAlex

Raman spectroscopy and powder X-ray diffraction probe the mechanochemical reaction in tandem and in situ, each providing complementary information on the reaction course and insight into reaction mechanism. Both can quantitatively evaluate reaction profiles, and Raman spectroscopy—even in situations when powder diffraction fails. This cover art was made by Perica Matijević, academy-trained sculptor. It represents a glimpse to the dark side of the reaction vessel enabled by the two techniques used in tandem. More information can be found in the Full Paper by K. Užarević, I. Halasz et al. on page 13941.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.149
Threshold uncertainty score0.498

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1490.040

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 head0.052
GPT teacher head0.349
Teacher spread0.297 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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 routes1
Has abstractyes

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