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Record W2011350933 · doi:10.1080/15538360902801312

Nova Scotia Wild Blueberry Soil and Leaf Nutrient Ranges

2009· article· en· W2011350933 on OpenAlex
Leonard J. Eaton, Kevin Sanderson, Sherry Fillmore

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Fruit Science · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBerry genetics and cultivation research
Canadian institutionsAgriculture and Agri-Food CanadaNova Scotia Department of Agriculture
Fundersnot available
KeywordsNova scotiaNutrientMicronutrientFertilizerHorticultureBiologyAgronomySoil testSoil waterBotanyChemistryEcologyGeography

Abstract

fetched live from OpenAlex

Soil and leaf samples were collected from 44 wild blueberry fields throughout Nova Scotia in 1989–90 and in 1997–98, and analyzed for macro- and micronutrient content. Samples were obtained from sprout fields, in late July and early August, after terminal dieback of terminal leaf buds. Soil and tissue concentrations of P and K were increased by repeated fertilizer applications between the two sample periods, whereas soil pH was decreased. Leaf tissue concentrations of P, Cu, B, Zn and Fe were consistently lower than indicated by the Trevett standards, suggesting that a separate set of nutrient ranges should be adopted for Nova Scotia wild blueberry fields.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.880
Threshold uncertainty score0.239

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.033
GPT teacher head0.298
Teacher spread0.265 · 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