The scientific legacy of Har Gobind Khorana total synthesis and the genetic code
Bibliographic record
Abstract
This book is the only scientific biography of the Nobel Prize - winning Indian American chemist, Har Gobind Khorana. It begins with the story of Khorana's origins in poverty in rural India and how he manages to emerge from that to be trained in chemistry in Britain and Switzerland before immigrating to Canada and the United States. Science was the dominant focus of Khorana's life, and his biography is treated chronologically in conjunction with his scientific career. The book explains in detail Khorana's most important scientific achievements, his role in deciphering the genetic code (the reason for his Nobel Prize), the first synthesis of a functional gene in the laboratory, the elucidation of the idea behind the PCR technology that has since become ubiquitous in biotech, and his seminal studies of how structure determines the function of biological macromolecules in membranes. Finally, it focuses on his scientific legacy, and what his career means for future generations of scientists
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".