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Record W3007412119 · doi:10.1002/vjch.201800043

Natural sulphur‐containing steroids: Origin and biological activities

2018· article· en· W3007412119 on OpenAlexaff
Valery M. Dembitsky, Nick Savidov, Tatyana A. Gloriozova

Bibliographic record

VenueVietnam Journal of Chemistry · 2018
Typearticle
Languageen
FieldMaterials Science
TopicCalcium Carbonate Crystallization and Inhibition
Canadian institutionsLethbridge College
Fundersnot available
KeywordsSulfurChemistryEnvironmental chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The present review describes the distribution and biological activities of natural sulphur containing steroids (SCS). The structures and predicted biological activities of SCS are presented in the proposed review. Comparatively a small amount of SCS were found in living organisms, but a very large variety of these lipid molecules were found in geological samples and marine sediments. About fifty steroids showed antineoplastic and antipsiomatic activities with a confidence of 72 to 94 %, and some of them can be used as antidiuretic, antiseborrheic, and anesthetic agents. The presented materials are interesting both for chemists and pharmacologists, as well as specialists from the field of sports medicine, bodybuilding, and pharmaceutical industry.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.652

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.262
Teacher spread0.243 · 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

Citations8
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueVietnam Journal of ChemistrySame topicCalcium Carbonate Crystallization and InhibitionFrench-language works237,207