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Record W2668277960 · doi:10.5539/ijc.v9n3p53

Comparative Structural Modeling of Vitamin D3 Containing Sulfur, Selenium and Tellurium

2017· article· en· W2668277960 on OpenAlexvenueno aff
Petr Melnikov, Ana Nogueira Gaúna, Lourdes Zélia Zanoni, Lincoln Carlos Silva de Oliveira, Valter Aragão do Nascimento

Bibliographic record

VenueInternational Journal of Chemistry · 2017
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsnot available
FundersUniversidade Federal de Mato Grosso do Sul
KeywordsChemistryTelluriumChalcogenSeleniumMoietyBond lengthSulfurMolecular geometryCrystallographyComputational chemistryInorganic chemistryMoleculeStereochemistryOrganic chemistryCrystal structure

Abstract

fetched live from OpenAlex

The comparative structural modeling of vitamins D3 containing sulfur, selenium and tellurium in oxygen site has provided detailed information about the bond lengths and bond angles, filling the gap in the structural characteristics of virtual VD3 variants. The investigation using the molecular mechanics technique with good approximation confirmed the information available on X-ray refinements for the natural VD3. It was shown that Ch-H and Ch-C bond lengths grow in parallel with the increasing chalcogen ionic radii and practically insensitive to the presence of the organic moiety. These findings demonstrate a higher polarity of VD3S-H, VD3Se-H and VD3Te-H as compared to VD3. It maybe suggested that enhanced polarity can have a positive impact on hydroxylation processes.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.041
GPT teacher head0.372
Teacher spread0.331 · 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 designSimulation or modeling
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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