Trace element geochemistry of Nova Scotia (Canada) maple syrup
Bibliographic record
Abstract
Between 2000 and 2005, 50 sugar maple ( Acer saccharum Marshall, 1785) syrup samples from 16 producers in northern Nova Scotia, were analyzed (for 39 elements) using new techniques and inductively coupled plasma – mass spectrometry. Multidimensional scaling (exploratory statistics) using all samples and chemical data indicates that composition correlates with producer–woodlot, syrup colour (percent transmission), and processing (boiling alone versus reverse osmosis + boiling). Data are subdivided to explore these relationships. Using boiled samples (five producers, 21 samples), producers–woodlots are distinguished by high field-strength (Cr, Hf, and U), rare-earth (La, Pr, and Nd), chalcophile (Cu), alkaline earth (Ba, Ca), and especially alkali elements (Na, K, Rb, and Cs). On average, element concentrations are 1.6 times higher in darkest, boiled-only syrups (n = 6) compared with the lightest boiled syrups (same producers; n = 6). Apparently, dark syrups result from sap that contains low sugar content but similar element concentrations. More boiling to concentrate sugar causes caramelization, resulting in darker syrup and higher element concentrations. Averages for boiled and osmosis-processed syrups suggest that cations with small ionic radius and high charge (3 + and 4 + ) are ∼1.6 times higher in boiled samples. These cations are partially lost by passing through the osmosis membrane. Based on boiled samples, water-soluble alkali metal cations with large ionic radius and low charge (+1) have high continental-crust-normalized concentrations (0.1 times), whereas insoluble cations with smaller ionic radius and higher charge (e.g., Hf, Th, REE) exhibit low (0.0001) concentrations. This pattern apparently reflects element solubility in soil water. Concentrations are ∼10 times those in Nova Scotia wine. Because ∼35 L of sap makes 1 L of syrup, the lower concentration factor in wine may reflect evapotranspiration concentration in grapes. Several elements in syrup (Sn, Cu, Pb, Zn), show producer-related concentration anomalies that probably reflect equipment (tanks, pumps, evaporators) used in processing.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 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".