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Additional file 1 of Synthesis, characterization, and antibacterial activity studies of two Co(II) complexes with 2-[(E)-(3-acetyl-4-hydroxyphenyl)diazenyl]-4-(2-hydroxyphenyl)thiophene-3-carboxylic acid as a ligand

2024· article· en· W6902033944 on OpenAlexaff

Bibliographic record

VenueFigshare · 2024
Typearticle
Languageen
FieldMedicine
TopicMetal complexes synthesis and properties
Canadian institutionsCarleton University
Fundersnot available
KeywordsSpectrum (functional analysis)Mass spectrumSpectral lineCompound semiconductorHeteronuclear single quantum coherence spectroscopyInfrared spectroscopy

Abstract

fetched live from OpenAlex

Additional file 1: Figure S1. Powder X-ray diffractogram of compound 11. Figure S2. UV-VIS spectrum of compound 11. Figure S3. IR spectrum of compound 11 with some assignments. Figure S4. HRESI+ mass spectrum of compound 11. Figure S5. 1H-NMR spectrum of compound 11. Figure S6. 13C-NMR spectrum of compound 11. Figure S7. HSQC spectrum of compound 11. Figure S8. COSY 1H-1H spectrum of compound 11 with some correlations. Figure S9. HMBC spectrum of compound 11. Figure S10. UV-VIS spectrum of complex 12. Figure S11. IR spectrum of complex 12. Figure S12. HRESI+ mass spectrum of complex 12. Figure S13. 1H-NMR spectrum of complex 12. Figure S14. 13C-NMR spectrum of complex 12. Figure S15. HSQC spectrum of complex 12 with some correlations. Figure S16. COSY 1H-1H spectrum of complex 12. Figure S17. HMBC spectrum of complex 12 with some correlations. Figure S18. Comparison of the UV-VIS spectra of compound 11 (black) and 12 (blue). Figure S19. Comparison of the IR spectra of compounds 11 (black) and 12 (blue). Figure S20. Comparison of the 1H-NMR spectra of compounds 11 (a) and 12 (b). Figure S21. Comparison of the 13C-NMR spectra of compounds 11 (a) and 12 (b). Figure S22. Powder X-ray diffractogram of compound 13. Figure S23. UV-VIS spectrum of compound 13. Figure S24. IR spectrum of compound 13. Figure S25. HRESI+ mass spectrum of compound 13. Figure S26. 1H-NMR spectrum of compound 13. Figure S27. 13C-NMR spectrum of compound 13. Figure S28. HSQC spectrum of compound 13 with some correlations. Figure S29. COSY 1H-1H spectrum of compound 13. Figure S30. HMBC spectrum of compound 13 with some correlations. Figure S31. Comparison of the powder X-ray diffractograms of compounds 11 (black) and 13 (green). Figure S32. Comparison of the UV-VIS spectra of compound 11 (black) and 13 (green). Figure S33. Comparison of the IR spectra of compounds 11 (black) and 13 (green). Figure S34. Comparison of the 1H-NMR spectra of compound 11 (a) and 13 (b). Figure S35. Comparison of the 13C-NMR spectra of compound 11 (a) and 13 (b).

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)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.845
Threshold uncertainty score0.221

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.8450.144

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 head0.053
GPT teacher head0.294
Teacher spread0.240 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2024
Admission routes1
Has abstractyes

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