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Record W2113202675 · doi:10.1002/dta.257

Spectral data analyses and structure elucidation of metoprolol tartrate

2011· article· en· W2113202675 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

VenueDrug Testing and Analysis · 2011
Typearticle
Languageen
FieldChemistry
TopicAnalytical Methods in Pharmaceuticals
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsMetoprolol TartrateChemistryTartrateInfrared spectroscopySpectral lineSpectroscopyMass spectrumUltravioletInfraredAnalytical Chemistry (journal)Mass spectrometryMetoprololMaterials scienceInorganic chemistryOrganic chemistryChromatographyOpticsPhysicsOptoelectronics

Abstract

fetched live from OpenAlex

The infrared spectrum, ultraviolet spectrum, mass spectra, and nuclear magnetic resonance spectra of metoprolol tartrate, an antiarrhythmic medicine, were reported and interpreted comprehensively. The vibrations of functional groups in infrared spectrum, electron transitions in ultraviolet spectrum, and main characteristic fragmentations in mass spectra of metoprolol tartrate were discussed. All the (1) H and (13) C NMR chemical shifts were assigned by means of distoritionless enhancement by polarization transfer-135 and -90, (1) H-(1) H correlation spectroscopy, and (13) C-(1) H correlation spectroscopy via short- and long-range coupling.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.603

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.250
GPT teacher head0.420
Teacher spread0.170 · 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