ASD FieldSpec3 field measurement protocols v1
Bibliographic record
Abstract
The following protocol describes best practices for collecting field spectrometer measurements with an ASD Fieldspec 3 spectroradiometer. In order to determine absolute reflectance users are urged to follow the calibration and analytical theory described in Soffer et al (2019). Processing of the files collected by the ASD following the theory presented in Soffer et al. (2019) can be carried out with the ASDtoolkit (Elmer et al. 2019). Soffer R., Ifimov G., Arroyo-Mora J.P., Kalacska M. 2019 Validation of Airborne Hyperspectral Imagery from Laboratory Panel Characterization to Image Quality Assessment: Implications for an Arctic Peatland Surrogate Simulation Site. Canadian Journal of Remote Sensing. DOI: 10.1080/07038992.2019.1650334 Elmer K, Soffer R, Kalacska M, Schaaf ES, Arroyo-Mora JP. (2019) ASDtoolkit for reflectance measurements dx.doi.org/10.17504/protocols.io.6pahdie
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.202 | 0.170 |
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".