<title>Flight testing the infrared eye prototype</title>
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
The Infrared (IR) Eye was developed with support from the National Search-and-Rescue Secretariat (NSS), in view of improving the efficiency of airborne search-and-rescue operations. The IR Eye concept is based on the human eye and uses simultaneously two fields of view to optimize area coverage and detection capability. It integrates two cameras: the first, with a wide field of view of 40 degree(s), is used for search and detection while the second camera, with a narrower field of view of 10 degree(s) for higher resolution and identification, is mobile within the wide field and slaved to the operator's line of sight by means of an eye-tracking system. The images from both cameras are fused and shown simultaneously on a standard high resolution CRT display unit, interfaced with the eye-tracking unit in order to optimize the man-machine interface. The system was flight tested using the Advanced System Research Aircraft (Bell 412 helicopter) from the Flight Research Laboratory of the National Research Council of Canada. This paper presents some results of the flight tests, indicates the strengths and deficiencies of the system, and suggests future improvements for an advanced system.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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