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Record W2570733123

Magnesium Deficiency in Apple in British Columbia1

2016· article· en· W2570733123 on OpenAlexaboutno aff
C. G. Woodbridge

Bibliographic record

VenueCanadian journal of agricultural science/Canadian Journal of Agricultural Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Physiology and Cultivation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMagnesium deficiency (plants)MagnesiumHorticultureNutritional deficiencyNutrient deficiencyBiologyAgronomyNutrientChemistryEcologyEndocrinology
DOInot available

Abstract

fetched live from OpenAlex

Magnesium deficiency (leaf blotch) in apple in the interior fruit-growing areas of British Columbia was found to be widespread. In some orchards there was only a slight deficiency, few leaves showed symptoms of leaf blotch, and the vigour and productiveness of the trees did not appear to be affected In others, the deficiency was marked, severe defoliation occurred, and few apples sized and matured Soil applications of magnesium salts were not effective in preventing symptoms of the deficiency, but foliage spray applications, using 2 per cent solutions of magnesium sulphate, were effective When the deficiency was severe, as many as eight sprays were required to correct it, and when the deficiency was slight, one spray was beneficial. When the magnesium content of leaves fell below 0 18 per cent magnesium on a dry weight basis, leaf blotch symptoms were invariably present and when the content was above 0 26 per cent, no symptoms were observed. Jubilee and Newtown varieties were more susceptible to leaf blot...

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 score0.166
Threshold uncertainty score0.334

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 studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.183
Teacher spread0.172 · 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

Citations7
Published2016
Admission routes1
Has abstractyes

Explore more

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