Bibliographic record
Abstract
Index 802.15.4,12 modulation techniques ASK (amplitude shift keying), 18 BPSK (binary phase shift keying), 17 O-QPSK (orthogonal quadrature phase shift keying), 17 PHY (physical) layer, 17 Activity management 1-limited policy, 123, 128, 189, 273 Bernoulli policy, 112, 121 centralized control, 124 distributed control, 126, 190 exhaustive policy, 123 lifetime gain, 128 multi-cluster networks, 187 Adaptive management Bernoulli policy, 128 Battery AA type, 189 AAA type, 111 energy budget, 112 Beacon frame, 20, 37 interval, 20 synchronization after sleep, 193 Blocking at the bridge, 192 of request packets during the random backoff countdown, 101 of uplink data packets during the random backoff countdown, 102 Bridge CSMA-CA access, 149, 150, 152 GTS access, 149, 152 master-slave, 148, 278 nodes, 147 slave-slave (SS), 203 switching, 147, 188 Buffer management push-out policy, 113 CAP (Contention Access Period), 21, 28 CCA (Clear Channel Assessment), 5, 19, 24 CFP (Contention-Free Period, 21 Channel scanning, 31 active scanning, 31 ED (Energy Detection) scanning, 32 orphan scanning, 33 passive scanning, 32 Cluster interconnection, 147 Collision, 5 avoidance, 5 detection, 5 Congestion after the inactive period, 98, 104, 114, 194 of packets deferred to the next superframe, 24, 96, 103, 114 of uplink data requests, 99 Coordinator, see PAN coordinator CSMA mechanism, 9 Wireless Personal Area Networks: Performance, Interconnections and Security with IEEE 802.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.443 | 0.398 |
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".