Polyphenol content and browning of Canadian icewines
Bibliographic record
Abstract
The polyphenol composition of a range of Ontario icewines and late harvest wines was quantified. For 1999-2000 experimental wines, the FAUX icewines (harvested above -8°C and before 18 December) had high concentrations of hydroxycinnamates (10 to 37 mg/L in Riesling; 53 to 82 mg/ L in Vidal) which dropped to concentrations below 10 mg/L for the REAL icewines (harvested at temperatures -8°C or below and after 28 December). However, in 2002 experimental icewines, high concentrations of hydroxycinnamates were seen in both REAL and FAUX wines (40 to 84 mg/L in Riesling; 106 to 129 mg/L in Vidal), but all of the grapes were harvested before 11 December. Low to moderate concentrations of total hydroxycinnamates were observed in commercial icewines (10 to 40 mg/L) and late harvest wines (5 to 60 mg/L). Freeze concentration during icewine making appears to have substantial impact upon polyphenol composition and concentration, but time of harvest and growing season appear to be equally important.
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".