MétaCan
Menu
Back to cohort
Record W2017424817 · doi:10.1080/10575630290034249

Steroid and Antibacterial Steroidal Glycosides from Marine Green Alga Codium Iyengarii Borgesen

2002· article· en· W2017424817 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNatural product letters · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeaweed-derived Bioactive Compounds
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGlycosideSteroidEthyl acetateStereochemistryChemistryAlgaeGalactosideBotanyAntibacterial activityTraditional medicineBiologyOrganic chemistryBacteriaBiochemistryMedicine

Abstract

fetched live from OpenAlex

The ethyl acetate soluble part of methanolic extract of marine green alga Codium iyengarii collected from Karachi coast of Arabian Sea afforded a new steroid ([structure: see text], iyengadione) and two new steroidal glycosides [iyengaroside-A ([structure: see text]) and B ([structure: see text])] along with clerosterol galactoside ([structure: see text]). Their structures were elucidated with the aid of 1D-NMR spectroscopy and reconfirmed through HMBC experiments. The bactericidal activity of [structure: see text] was also explored and found positive response from iyengaroside-A ([structure: see text]) and clerosterol galactoside ([structure: see text]).

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.

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 score0.886
Threshold uncertainty score0.728

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 integrity0.0000.001
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 head0.016
GPT teacher head0.185
Teacher spread0.169 · 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