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Record W1597062046

Geology and Wine 3. Terroirs of the Walla Walla Valley appellation, southeastern Washington State, USA

2000· article· en· W1597062046 on OpenAlexvenueno aff
Lawrence D. Meinert, Alan J. Busacca

Bibliographic record

VenueGeoscience Canada · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyTerroirForestryGeographyWine
DOInot available

Abstract

fetched live from OpenAlex

Terroir of the Walla Walla Valley appellation of Washington State is influenced by 1) the rain shadow effect and volcanic tephra of the Cascade Mouncain Range, 2) soils derived from Quaternary glacial sediments and wind-blown loess overlying Miocene basalt, and 3) a warm, dry climate with abundant sunshine and cool nights due to high latitude (45-48°N) and elevation. Wine flavours of Walla Walla Valley varietals (including Cabernet Sauvignon, Chardonnay, Merlot, and Syrah) appear to be influenced by low humidity, long growing season (1500-1800°C degree days), soil type and drainage, drip irrigation, pruning to restrict vine vigour, trellising methods, and overall topographic climatic setting of the vineyards. Microclimates within the Walla Walla Valley appellation, combined with variations in soil and bedrock stratigraphy, yield a range of wine styles as great as many larger regions and some countries. Resume Le terroir de la vallee de Walla Walla d'appellation de l'Etat de Washington est caracterise par 1) l'effet parapluie de la topographie locale et la nature tephritiquedes depots de la chaine des monts Cascade, 2) les sols issus de depots glaciaires et de loess eoliens recouvrant un basalte Miocene, et 3) un climat chaud et sec tres ensoleille, avec les nuits fraiches deshautes latitudes (N45° a N48°) et de l'altitude elevee. Les gouts des vins des varietes de la vallee de Walla Walla (incluant le Cabernet Sauvignon, le Chardonnay, le Merlot, et le Syrah) semblent dependre de la faible humidite de la region, sa saison vegetative longue (1 500°C a 1 800°C degres-jours), de la nature de son sol et de son drainage, d'une irrigation goutte a goutte, de la taille de la vigne pour en restreindre la vigueur vegetative, des methodes de treillages et, des conditions topographiques et climatiques generales ou baignent ces vignobles. L'effet combine des microclimats de la region d'appellation de la vallee de Walla Walla avec les varietes de ses sols et de la stratigraphie du substratum rocheux regional permet la production de styles de vin aussi prestigieux que bien des regions reconnues et meme de certains pays.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.819
Threshold uncertainty score0.359

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.012
GPT teacher head0.205
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2000
Admission routes1
Has abstractyes

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