Bibliographic record
Abstract
This chapter overviews the market status and outlook for IMT-Advanced technologies. It discusses the status of the mobile and wireless market today, in terms of both networks and handsets, and considering other relevant aspects. The chapter draws on the possible evolution tracks that is taken by operators in getting to 4G networks. It is organized in two parts. The first part discusses the recent and the near future efforts in the market as they move towards deploying IMT-Advanced networks. It elaborates on the pre-IMT-Advanced activity, and the possible evolution tracks that operators might take towards next genet generation networks. The second part builds on the market description and describes the outlook for IMT-Advanced markets. It also describes the interplay and the effect of spectrum deregulation, the proliferation of “small cells”, including relay stations, femtocells and WiFi Spread. Finally, it concludes with a brief comment on the road ahead. Controlled Vocabulary Terms 3G mobile communication; 4G mobile communication; femtocells; IEEE 802.11 standards
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.067 | 0.012 |
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".