Boundary-Line Approach to Determine Minimum and Maximum Leaf Micronutrient Concentrations in Wild Lowbush Blueberry in Quebec, Canada
Why this work is in the frame
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Bibliographic record
Abstract
Minimum and maximum leaf micronutrient concentrations in wild lowbush blueberry (Vaccinium angustifolium Ait.) were determined under the climatic and edaphic conditions of the Saguenay–Lac-Saint-Jean region (Quebec, Canada). The boundary-line approach was used to determine the relationship between leaf micronutrient concentrations and yield. The data were obtained from nitrogen and phosphorus fertilization trials conducted from 2001 to 2008 on 13 commercial lowbush blueberry fields in the Saguenay-Lac-Saint-Jean region. On average, more than 80% of the samples met the new minimum leaf micronutrient concentrations. Minimum leaf concentrations were revised downward for aluminum (Al), copper (Cu), iron (Fe), and zinc (Zn) compared to actual reference values. Minimum leaf boron (B) and manganese (Mn) concentrations were revised upward. Maximum leaf concentrations for all micronutrients were also revised downward. Minimum and maximum leaf concentrations were 26.2–73.5, 32.2–52.9, 3.2–6.5, 27.8–61.4, 873–1394, and 11.0–17.3 mg kg−1 for Al, B, Cu, Fe, Mn, and Zn, respectively. The determination of these new minimum and maximum leaf micronutrient concentrations established sufficiency ranges for the growing conditions in the region.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it