Bibliographic record
Abstract
Rishabh Garg Software Development Engineer at Google Educational Background B. Tech. from Birla Institute of Technology and Science (BITS), Pilani Masters Candidate – Computer Science, Georgia Institute of Technology, USA Professional Experience Former Data Science Researcher at Indian Institute of Technology (IIT), New Delhi Software Development Engineer (SDE) at ServiceNow Brand Partner at Cuvette Innovation & Recognition Proposed the 16-digit encrypted Unified Identification Number to Prime Minister Narendra Modi in 2016. Innovation registered by the Indian Innovation Foundation, Government of India on January 2, 2018 Rishabh’s innovation is now integrated into the UID-Aadhaar system as the 16-digit VID Publications & Research Journal referee for world’s top-most journals - IEEE Internet of Things and Elsevier Author of the highly regarded book 'Blockchain for Real World Applications' (John Wiley & Sons), which is read in 172 countries and available in 50+ languages. This book is widely prescribed in university curriculums, including those of Ivy League Universities (USA), Heidelberg University (Germany), Cankaya University, National Institutes of Technology (India), RIEs, IEHE. Authored books on One World-One Identity, Self Sovereign Identities, Artificial Intelligence, Machine Learning, Internet of Things, Augmented Reality, and Metaverse. Published over 40 blogs/articles, 15 conference papers, 12 book chapters, and 06 research papers in IEEE Xplore, Springer Nature, etc. International Contributions Served as a Program Committee Member and Reviewer for 50+ international conferences on Artificial Intelligence, Machine Learning, Cloud Computing, and Blockchain in cities such as San Francisco, Toronto, London, Sydney, Melbourne, New South Wales, Dubai, and more Contributed significantly to global research communities, with publications on over 100 platforms including Academia.edu, ResearchGate, Google Scholar, Zenodo, and Medium, reaching more than 1 million readers Awards & Accolades Presidential Award for Exceptional Achievements in Innovations CSIR Innovation Award presented by Prime Minister, Mr. Narendra Modi International Award by Prime Minister of Sweden, Mr. Ola Ullsten Bronze Award by the Royal Commonwealth Society, London UK Multiple awards from NASA, USA Young Scientist Award from Ministry of Science and Technology, Government of India Global Recognition Ranked among the top 0.1% scholars worldwide for his outstanding contributions to technology and research Rishabh work continues to inspire and educate across the globe, establishing him as a leading innovator and thought leader in the fields of blockchain, AI, and digital identity.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.040 | 0.030 |
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".