Abstracts from Presentations at the ASEV–Eastern Section 38th Annual Conference, 15–18 July 2013, Winston-Salem, NCExploration of Savory Wine Aroma via Descriptive Analysis and Gas Chromatography–OlfactometryAcetic Acid and Ethyl Acetate Production during High Brix Fermentations: Effect of Yeast StrainTannin Extractability in Cool-Climate Cultivars: Variability and Regional DiscrepanciesImpact of Cluster Thinning on Maturity and Grape Quality of Seyval blanc and Hybrid Grape Varieties Grown in Quebec <i>Vitis vinifera</i> Water Dynamics in the Southeast: Observations and ModelingUsing Under-Vine Groundcovers as a Sustainable Alternative to Herbicide in Cool-Climate RieslingEvaluation of Seven New Grape Varieties from the Cross of Norton and Cabernet SauvignonEcology of Yeasts and Acetic Acid Bacteria Associated with Grape Sour Rot in the Niagara RegionMesoscale Capability/Suitability Model: <i>Vitis vinifera</i> Vineyard Site Selection Case, Rockingham County, North CarolinaNebraska Viticulture 2012: A Challenging Season for Herbicide DamageUsing NDVI Images to Reduce Required Sample Sizes in a VineyardEffects of Partial Vertical Canopy Division on Yield, Pruning Weight, and Fruit Chemistry of Favorite WinegrapesScion–Rootstock Interaction and Impact on Vine Growth, Phenology, and Cold HardinessAssessing Grapevine Cold Hardiness Status Using Cane Morphology IndicatorsGrowing Season Weather Impact on Vine Hardiness in OntarioTraining System and Rootstock Impact Yield and Fruit Composition of ArandellTiming Exogenous Tannin Additions for Optimal Retention in Hybrid Red WinesFlavor of Hybrid Grapes for Winemaking: A Survey of the Main Varieties Grown in Quebec for Red Wine ProductionImpacts of Natural Yield Variance on Wine Composition and Sensory Quality of <i>Vitis vinifera</i> cvs. Riesling and Cabernet francInteractive Effect of Regulated Deficit Irrigation and Skin Contact Time in Washington State Cabernet Sauvignon WinesEffect of Foliar Nitrogen and Sulfur Applications on Grape-Derived Volatiles and Aroma Profile of Petit Manseng ( <i>Vitis vinifera</i> L.) using Descriptive AnalysisWine Aroma: Identifying Sensory Drivers for Consumer Overall LikingImpact of Thinning and Training Mode on Vine and Grape Quality for Four Varieties in Quebec, CanadaEfforts at Improving the Sensitivity of Malolactic Fermentation Paper ChromatographyGreen Grafting Allows Timely Rapid Increase of New, Virus-Indexed Cultivars in Northern ClimatesEvaluation of Composition Attributes and Postharvest Storability of Arkansas Muscadine GenotypesA Novel Two-Panel Evaluation System for Commercial WinesViticultural Performance of Chardonel Grapevines Is Altered by Grapevine Vein Clearing Virus and Vine Decline DiseaseTwo Years into the SCRI Northern Grape Project: What Have We Accomplished?Correlation between Instrumental Extraction Force and Perceived Extraction Difficulty for Wine Bottle ClosureseViticulture: A Multifaceted International Platform for Viticulture Outreach
Bibliographic record
Abstract
# Exploration of Savory Wine Aroma via Descriptive Analysis and Gas Chromatography–Olfactometry {#article-title-2} The practice of extended bottle aging to increase wine quality is traditionally carried out by wine producers and négociants as well as wine collectors. Mainly red wines are
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".