Crossed-array transducer for real-time 3D imaging
Bibliographic record
Abstract
A crossed-array transducer for real-time three-dimensional imaging has been developed along with an accompanying transmit pulser and beamforming system. The system incorporates novel design features that address the unique constraints and requirements imposed by the crossed-array construction. These developments include a 1-3 composite with radially apodized polarization; a bipolar ±100V pulser with variable frequency and delay control, and a low-impedance ground in the off-state; and a transmit beamformer with a computer interface to monitor and control the system. Experimental results demonstrate the system to have a 3dB beamwidth of 2mm at 60mm depth (f/1.4) and 4mm at 80mm depth (f/1.8). The beam-shape has excellent confinement along the focused axis, and the defocused orthogonal plane reaches a maximum intensity drop of 6dB over a 45° sector.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".