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 company Telops has performed studies that indicate their FIRST system is capable of providing long-wave infrared (LWIR) airborne hyperspectral images. Defence R&D Canada Valcartier (DRDC Valcartier), being interested in evaluating a possible Canadian high performance airborne hyperspectral imager, has started a collaborative effort with Telops with the goal to perform two field trials with the FIRST hyperspectral imaging system in airborne mode in order to determine its current capability as an airborne hyperspectral imager. The plan for the first trial is presented in this technical note. The trial will take place at Valcartier between December 3rd and 14th, 2007. During this trial, Telops FIRST hyperspectral long-wave infrared imager will be operated on an aircraft in a push-broom configuration to obtain hyperspectral imagery of the DRDC Valcartier Lemay park and a variety of installed targets. The ground experiments and ground truth are organized by DRDC Valcartier. Telops has the responsibility for the airborne instrumentation and the platform. During this trial, DRDC Valcartier will setup four small experiments: a gas plume detection experiment, a plastic plume experiment, a powdered chemical sensing experiment and an unexploded ordnance detection experiment. The main objective of this trial is to investigate the possibilities of detection and identification by the FIRST hyperspectral imager.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it