Additional file 1 of Synthesis, biological evaluation, and computational studies of some novel quinazoline derivatives as anticancer agents
Bibliographic record
Abstract
Additional file 1: Figure S1. The FT-IR spectrum of 7a. Figure S2. The 1H NMR spectrum of 7a. Figure S3. The 13C-NMR spectrum of 7a. Figure S4. The Mass spectrum of 7a. Figure S5. The FT-IR spectrum of 7b. Figure S6. The 1H NMR spectrum of 7b. Figure S7. The 13C-NMR spectrum of 7b. Figure S8. The Mass spectrum of 7b. Figure S9. The FT-IR spectrum of 7c. Figure S10. The 1H NMR spectrum of 7c. Figure S11. The 13C-NMR spectrum of 7c. Figure S12. The Mass spectrum of 7c. Figure S13. The FT-IR spectrum of 7d. Figure S14. The 1H NMR spectrum of 7d. Figure S15. The 13C-NMR spectrum of 7d. Figure S16. The Mass spectrum of 7d. Figure S17. The FT-IR spectrum of 7e. Figure S18. The 1H NMR spectrum of 7e. Figure S19. The 13C-NMR spectrum of 7e. Figure S20. The Mass spectrum of 7e. Figure S21. The FT-IR spectrum of 7f. Figure S22. The 1H NMR spectrum of 7f. Figure S23. The 13C-NMR spectrum of 7f. Figure S24. The Mass spectrum of 7f. Figure S25. The FT-IR spectrum of 7g. Figure S26. The 1H NMR spectrum of 7g. Figure S27. The 13C-NMR spectrum of 7g. Figure S28. The Mass spectrum of 7g. Figure S29. The FT-IR spectrum of 7h. Figure S30. The 1H NMR spectrum of 7h. Figure S31. The 13C-NMR spectrum of 7h. Figure S32. The Mass spectrum of 7h.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.764 | 0.095 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".