Bibliographic record
Abstract
The demand for wireless services is growing rapidly. The extension of services into the in-building environments and in public pedestrian areas further enhance this trend. This trend is no exception in the United States. With the availability of spectrum in the PCS unlicense band it becomes apparent that standardization is required to provide cost-effective solutions for in-building business applications. This paper discuss the three user premise equipment wireless standards developed in the TIA (Telecommunications Industry Association). The main purpose of this organization was to develop the standards for inter-vendor operability for operation in the US PCS unlicense band. The three user premise equipment wireless standards are PWT (Personal Wireless Terminal), PCI (Personal Communication Interface) and PACS (Personal Access Communication System). Operation in the unlicense band is first discussed. Both voice or isochronous type services and data or asynchronous services are accommodated in the PCS unlicense band. Different rules of access governs each service type. A process of channel monitoring with a listen-before-transmit protocol is provided to allow for sharing of channels in the band. This process, also better known as the "etiquette rule" or "spectrum etiquette", together with standardization of the three over-the-air protocols in the TIA provides a significant new opportunity for the extension of personal communications for the in-building business applications.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".