Fluorocoxib C: A long-lived near-infrared COX-2 probe enabling selective visualization of inflammation and cancer in vivo
Bibliographic record
Abstract
Md. Jashim Uddin has completed his Ph.D. at the age of 32 years from Shinshu University and postdoctoral studies from University of Alberta. He is a ‘Research Assistant Professor’ of Biochemistry at the Vanderbilt University School of Medicine. He has developed new drug design concepts for cyclooxygenase-2 (COX-2) inhibition. Also, he has contributed significantly in the development of cyclooxygenase-2 (COX-2) targeted imaging agents for early detection of cancer. He has developed Fluorocoxib A that has been marketed for pre-clinical applications. He has published more than 30 scientific publications in the world’s leading organic, bioorganic, medicinal chemistry, and cancer research journals. Fluorocoxib C: A long-lived near-infrared COX-2 probe enabling selective visualization of inflammation and cancer in vivo
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".