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Record W4246587688 · doi:10.1039/9781788013000

Gasotransmitters

2018· book· en· W4246587688 on OpenAlexaff
Rui Wang

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEnvironmental Science
TopicChemical Analysis and Environmental Impact
Canadian institutionsLaurentian University
Fundersnot available
KeywordsScope (computer science)Graduate studentsChemistryHuman physiologyEngineering ethicsNeuroscienceCognitive scienceNanotechnologyComputational biologyComputer sciencePsychologyBiologyEngineeringMedicineMedical educationMaterials science

Abstract

fetched live from OpenAlex

Gasotransmitters are gas molecules produced endogenously in prokaryotic and eukaryotic cells for signalling purposes. This book provides, for the first time, a comprehensive description and systematic look at all gasotransmitters, established or proposed, since their detection in 2002. The content and scope covers the production, metabolism, and signalling roles of gasotransmitters. Conceptual advances, scientific discoveries and newly developed techniques described in this book influence our understanding of fundamental molecular and cellular events in biology and medicine. This book serves as the state-of-the-art book for undergraduate and graduate students as well as post-doctoral fellows in biomedical disciplines and toxicologists studying the toxic mechanisms of gasotransmitters in the environment. It will also be welcomed by researchers in university and research institutes, government agencies, pharmaceutical and medical instrument industry, and clinical practice.

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)0.001
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: Other
Teacher disagreement score0.063
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0630.046

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 head0.005
GPT teacher head0.181
Teacher spread0.176 · 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

Citations15
Published2018
Admission routes1
Has abstractyes

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