Bibliographic record
Abstract
perfectly matched layer (PML) ABC, 19 surface impedance boundary condition (SIBC), 15-16 uniaxial PML (UPML) ABC, 19-22 Active element pattern, 71, 72 Active impedance matrix, 72 Active return loss, 75 Admittance matrix, 71 Amplification matrix, 11 Anisotropic conductive adhesive, 299 ANN, 96-98, 108 Antenna fidelity, 205 Aperture coupled, 101, 103-105 Aperture efficiency, 72 Array, 65-67, 69 Artificial dielectrics, 345 Artificial magnetic ground plane, 221 Average gain, 318 b, 281 Backscatter modulation, 264 BAN, 183 Bandgap properties, 389 Band-notched antenna, 325, 331 Bandwidth, 62, 306 Bandwidth, antenna, 269, 286, 289 Bidirectional radiation pattern, 440 Blind angle, 73 Blockage efficiency, 123 Body area network, 183 Bondwire, 299 BPF, bandpass filter, 404, 413 Broadband, 215, 216, 218, 219, 221 Broadside radiation, 459 Butterworth LPF, 399, 400 Button antenna, 194 Cascading formula, 67, 68 Cavity enclosed, 36 Cavity resonator model, 35 CFL condition or Courant limit, 2 Characterization of the periodic screen as an EBG structure, 456 Chromosome, 80-87 Circular defects, 412 Circular dot-shaped DGS, 416 Circularly polarized reflectarray, 125-128 Circular microstrip patch (CMP) with a dielectric superstrate, 36 suspended substrate with variable air gap, 36 Cognitive radio, 178 Compact patch, 232 Composite right/left-handed (CRLH) metamaterials, 346, 348 Computer aided design (CAD), 35 Cost function, 79, 87, 108 Coupling slot, 166, 177 Courant number, 2 Creeping wave, 186 Cross over, 81, 82, 84, 85, 89
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| 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) | 0.483 | 0.435 |
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".