Bibliographic record
Abstract
Infosys Technologies Limited (I.T.L.) established in 1981 and having its registered office at Electronics City, Hosur road Banglore, with office in India, U.S., Canada, Europe and Asia, provides end-to-end consulting for global corporations. The company has long-term partnerships with a range of fortune 1000 companies, supporting technology-driven business transformation initial. On 1 June 2013, Mr. Narayana Murthy one of the founding member of Infosys and its long time CEO returned from his retirement to assume office in Infosys as its Executive Chairman. Infosys Technologies is an Indian Multinational Provider of business consulting information technology, Software engineering and outsourcing services. It is headquartered in Bangalore, Karnataka. Infosys is the third largest India based it services company 542012 revenues and the second largest employer of H-IB Visa Professionals in the United States, as up 2012 in 28 marches 2013. Its market capitalization was $30.8 billion making its India’s sixth largest publicly traded company.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.074 | 0.020 |
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".