Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In a search for improvements in airport and air ro utes operational capacity, an acceptable level of wake turbulence encounter could be considered – perhaps by comparing wake vortex encounter (WVE) upsets with discrete turbulent gust design requirements, for which transport aircraft are certificated, a priori. Such a study has been conducted. Analysis of wake vortex encounters from DAS, DFDR and QAR recorded flight data from research aircraft and commercial aircraft encountering inflight upsets from wake vortex encounters has been used successfully to estimate the detailed characteristics of the upset windfield normal, lateral and axial gust components, in body axes, experienced by the aircraft. The body axis gust components are correlated against the gross loads experienced by the WVE aircraft, in time-domain based Lissajous cross-plots. The cross-plots are compared with the design gust-loads estimated by the CAR 4b and early FAR 25 gust load-line design requirements, for 12.5 c ‘1-cosine’ discrete gusts. Comparisons are conducted for a range of WVE aircraft. Agreement with FAR 25 gust load-line estimations is generally quite good, although they disclose concurrent multi-axis gust experiences, with at least one-axis at exceedance magnitude, in the simultaneous presence of autopilot or human-pilot induced manoeuvre loads, whereas design gust requirements need not be applied simultaneously on more than one axis, nor in the presence of pilot-ind uced-manoeuvre loads. A digital FBW system aeroplane with gust alleviation is shown to effectively handle WVE loads.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it