The Unwersty of Calgary. Canada
Bibliographic record
Abstract
Two phases of a precision farming project are described. Phase I consists of the collection of data from four test fields across Alberta using differential GPS (DGPS I combined with crop yield monitors and electromagnetic f EM) ground conductivity meters for measuring salinity. A geographic information system (GIS) is used to analyze and combine various layers of information obtained from each field in order to analyze yield variation. Positions better than 50 cm horizontally and 1 m vertically are obtained in DGPS mode using a robust carrier-phase smoothing of the code approach. The accuracy of the DGPS positions is verified independently through a crossover point analysis and a comparison with an ambiguity resolution on the fly t OTF) solution. DGPS positions are used to generate maps, which indicate that fields are not homogeneous in crop yield when they have been treated wlthout consideration for variability of soil, salinity, topography, or field history. Phase II, which consists of the application of variable-rate fertilizer based on the information gathered in Phase I, is summarized.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.429 | 0.092 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".