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Cholinesterase Research

2021· book· en· W4253222349 on OpenAlexfundno aff
Jan Korábečný, Ondřej Soukup

Bibliographic record

Venuenot available
Typebook
Languageen
FieldMedicine
TopicCholinesterase and Neurodegenerative Diseases
Canadian institutionsnot available
FundersNational Institute of General Medical SciencesCalifornia State University Long BeachNational Institutes of HealthMinistère des ArméesIdorsia PharmaceuticalsEuropean Regional Development FundAgentura Pro Zdravotnický Výzkum České RepublikyCommonwealth Scholarship CommissionFakultní nemocnice Hradec KrálovéServierEuropean Food Safety AuthorityGrantová Agentura, Univerzita KarlovaAgence Nationale de la RechercheFaculty of Dentistry, McGill UniversityLEO PharmaMcGill UniversityFonds de Recherche du Québec - SantéGrantová Agentura České RepublikyUniverzita Karlova v PrazeRéseau de Recherche en Santé Buccodentaire et OsseuseMinisterstvo Obrany České RepublikyAlpha Omega Foundation
KeywordsCholinesteraseDonepezilCholinergic systemPharmacologyCholinergicAcetylcholinesteraseChemistryMedicinePsychologyAcetylcholineNeuroscienceBiochemistryEnzymeInternal medicineDementiaDisease

Abstract

fetched live from OpenAlex

This collection of 10 papers includes original as well as review articles focused on the cholinesterase structural aspects, drug design and development of novel cholinesterase ligands, but also contains papers focused on the natural compounds and their effect on the cholinergic system and unexplored effects of donepezil.

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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.077
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0770.111

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 head0.249
GPT teacher head0.466
Teacher spread0.218 · 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
Published2021
Admission routes1
Has abstractyes

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Same topicCholinesterase and Neurodegenerative DiseasesFrench-language works237,207