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Record W2730590820 · doi:10.1080/14786419.2017.1344663

Phytochemical study of leaves of <i>Ocotea caudata</i> from Colombia

2017· article· en· W2730590820 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNatural Product Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTraditional and Medicinal Uses of Annonaceae
Canadian institutionsnot available
FundersDirección de Investigación, Universidad Nacional de ColombiaUniversidade de São PauloUniversidad Nacional de ColombiaConcordia University of Edmonton
KeywordsPhytochemicalLauraceaeTwo-dimensional nuclear magnetic resonance spectroscopyPhytosterolChemistryFatty alcoholStereochemistryIsoquinolineAristolochiaceaeBotanyBiologyOrganic chemistryFood science

Abstract

fetched live from OpenAlex

This first phytochemical study of leaves of Ocotea caudata led to the isolation of ten isoquinoline alkaloids, one of them previously unreported, S-(+)-9-O-demethylnorpreocoteine (1), three known flavonoids, two phenols, two eudesmane type sesquiterpenoids, one proline derivative, one fatty alcohol and a phytosterol. Their structures were elucidated on the basis of extensive 1D and 2D NMR spectroscopic analyses including HSQC, HMBC, 1H–1H COSY, NOESY, as well as HRESIMS data in addition to comparison with reports in the literature.

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)0.001
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 score0.146
Threshold uncertainty score0.301

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.074
GPT teacher head0.408
Teacher spread0.334 · 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