A field-deployable spectral reflectometer to characterize surfaces in the infrared from the NIR to the LWIR
Bibliographic record
Abstract
ABB Bomem has recently designed a field-deployable reflectometer to measure the diffuse spectral reflectance of surfaces from 0.7 μm to 13.5 μm. Its spectral resolution is adjustable and can be as fine as 4 cm-1. The instrument is designed to field and laboratory operation. It is portable and battery-operated. In its simplest mode, the instrument is automated and can be operated by non-specialist personnel with minimal training. The instrument was designed to build a spectral database of different surfaces in various conditions (different humidity, temperature, texture, mixing, etc.) and in the presence of various interfering chemicals (oils, solvents, etc.). The instrument has its own built-in infrared sources. The sources illuminate the ground area to be measured. The instrument has also two built-in reference diffusers: a Spectralon diffuser and an Infragold diffuser.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".