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Record W4241224180 · doi:10.21273/hortsci.44.5.1478

‘Diva’ Apple

2009· article· en· W4241224180 on OpenAlexaff
Shahrokh Khanizadeh, Yvon Groleau, Rong Tsao, Raymond S. H. Yang, Inteaz Alli, Robert K. Prange, Robert Demoy

Bibliographic record

VenueHortScience · 2009
Typearticle
Languageen
Field
Topic
Canadian institutionsMcGill UniversityAgriculture and Agri-Food Canada
Fundersnot available
KeywordsDivaBiologyHorticultureBotanyVirology

Abstract

fetched live from OpenAlex

Additional index words.Malus •domestica (Borkh.),apple scab resistance, Venturia inaequalis, long shelf life, antioxidant, fruit breeding, cider production, winter hardy, ice cider 'Diva' is the first scab-resistant apple released, specifically for northern climates, for cider and ice cider production and fresh market.It is very winter-hardy (lowest temperature -20 to -35 °C, Zones 4 to 5), has an excellent shelf life compared with 'Macspur McIntosh', and produces high-quality cider.'Macspur McIntosh' was used for comparison, in this study, as a result of its use for processing similar to the 'McIntosh' in Quebec.'Diva', tested as SJC7123-1, originated from a cross made in 1971 between 'McIntosh' and 9AR5T17 (test code PRI 674) (Fig. 1) at Agriculture and Agri-Food Canada (AAFC).The seedling (14179) has been tested since 1974 at AAFC and examined for its hardiness, disease resistance, fruit quality, chemical composition, and shelf life after storage at 2 °C.After extensive testing, it was planted in replicated trials under the name SJC7123-1 at four locations, including Cidrerie du Minot, a commercial cider producer in Hemmingford (lat.45.05° N, long.73.60° N), Quebec.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.162
Threshold uncertainty score0.543

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1620.045

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 head0.015
GPT teacher head0.268
Teacher spread0.253 · 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

Citations1
Published2009
Admission routes1
Has abstractno

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