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Record W2553472818 · doi:10.1107/s2053273316098041

Last advances in in situ monitoring of mechanochemical reactions by X-ray diffraction

2016· article· en· W2553472818 on OpenAlexaff
Voraksmy Ban, Nikolay Tumanov, Yolanda Sadikin, Yaroslav Filinchuk, Radovan Černý, Nicola Casati

Bibliographic record

VenueActa Crystallographica Section A Foundations and Advances · 2016
Typearticle
Languageen
FieldMaterials Science
TopicX-ray Diffraction in Crystallography
Canadian institutionsMcGill University
Fundersnot available
KeywordsMechanochemistrySAFERSolid-stateReactivity (psychology)Presentation (obstetrics)NanotechnologyPharmaceutical industryChemistryComputer scienceMaterials sciencePhysical chemistryBiotechnologyMedicineBiologyAlternative medicine

Abstract

fetched live from OpenAlex

This presentation will highlight how the overlap of previously unrelated areas of solid-state mechanochemical synthesis, [1] i.e. screening for API solid forms, organic synthesis by milling, and mechanochemical screening for molecular recognition, enables the emergence of a new research discipline in which different aspects of pharmaceutical and medicinal chemistry are addressed through solid-state reactivity, rather than the conventional solution-based routes.This nascent area of medicinal mechanochemistry [2] is likely to have a strong impact on future pharmaceutical and medicinal chemistry, by offering not only access to materials and reactivity that are sometimes difficult or even impossible to access from solution, but also by providing a general answer to the demands of pharmaceutical industry for cleaner, safer and efficient synthetic solutions.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.865
Threshold uncertainty score0.799

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.267
Teacher spread0.257 · 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 teacher head, 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
Published2016
Admission routes1
Has abstractyes

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