Effect of wet antenna attenuation on propagation data statistics
Bibliographic record
Abstract
Wet antenna attenuation during rain events is examined through carrying out simulated rain experiments. These were conducted on the receiving antenna of the Vancouver ACTS terminal under conditions similar to those prevalent when the propagation data on the Vancouver ACTS path were collected. The findings from these experiments are used to estimate path attenuation data for that path by adjusting the collected data for wet antenna attenuation via two different models. Primary and secondary statistics of the path attenuation data derived from the models at the two ACTS frequencies, nominally 20 and 27 GHz, are computed and compared with those for the unadjusted, measured data. This was done for the four-year period of December 1993 to November 1997 and includes average and worst month cumulative distribution functions and fade-duration and fade-slope statistics. While the two models yield similar statistics, these differ significantly from those derived from the unadjusted data. The comparison of the two sets of statistics suggests that the use of those of the unadjusted data to represent path attenuation would grossly exaggerate the requirements for system design.
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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 | 0.010 | 0.067 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".