Planning for a Canadian Contribution to a Soil Moisture Mission: First Workshop on Canadian SMAP Applications and Cal‐Val; Montreal, Quebec, Canada, 6–7 October 2009
Bibliographic record
Abstract
The Soil Moisture Active and Passive (SMAP) mission will combine low‐frequency microwave radiometer and high‐resolution radar instruments to measure surface soil moisture and freeze‐thaw state. This NASA mission, managed by the Jet Propulsion Laboratory, has the potential to enable a diverse range of applications including drought and flood guidance, agricultural productivity estimation and risk mitigation, weather forecasting, climate predictions, human health risk assessment and mitigation, and defense systems. Recognizing the potential relevance of SMAP's measurements for Canada, Environment Canada (EC) and the Canadian Space Agency (CSA) are joining efforts to develop Canadian participation in this mission. As part of this effort, the First Workshop on Canadian SMAP Applications and Cal‐Val was held in Canada. The main objective of this workshop was to develop a consolidated plan for Canadian participation in the SMAP mission that would address the needs of different Canadian government departments and academia.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 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".