Agricultural crops of the Ontario Shield Ecozone: 2013 Mobile mapping ground-truth observation results
Bibliographic record
Abstract
Mobile mapping technology was used to capture ground truth observations systematically for the 2013 cropping season across a combined total of 82,000 hectares of the Ontario Shield Ecozone. Results for study areas at Powassan (4,400 ha), Sturgeon Falls (6,500 ha), Chelmsford (8,400 ha) and Temiskaming Shores (63,000 ha) were obtained. Forage and pasture land dominate the Powassan agricultural landscape. A few grain fields were observed in this area. These crops were common throughout all of the mapping areas. Potatoes were noted to be a prominent crop in only the Chelmsford area. Grain and canola were observed to be very prominent in both the Sturgeon Falls and Temiskaming Shores areas. Clusters of corn production were observed throughout both regions. Soybean fields were most abundant in the latter. The first digital field-specific crop maps for the farming areas of the Ontario Shield Ecozone will be built with these results.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".