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Record W2028878557 · doi:10.1080/01904160009382087

Forms of microelements in apple leaves under different conditions of iron and zinc nutrition

2000· article· en· W2028878557 on OpenAlex
Olga Vedina

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Plant Nutrition · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Physiology and Cultivation Studies
Canadian institutionsnot available
FundersUniversity of Lethbridge
KeywordsZincManganeseChemistryNutrientCopperMalusInorganic ionsBotanyEnvironmental chemistryHorticultureInorganic chemistryIonBiology

Abstract

fetched live from OpenAlex

Abstract The research was carried out with the aim of studying the influence of various zinc (Zn) and iron (Fe) concentrations in the nutritive medium on the accumulation of inorganic and organic forms of Fe, Zn, manganese (Mn), and copper (Cu) in apple leaves (Malus cv. Prima) during the period of vegetation. This investigation revealed processes of Fe synergistic and antagonistic interactions with a number of elements on their flux into plants. Sufficiently low concentrations of inorganic Fe forms (3–24% of the total element content) present as ions (nonabsorbed and unbound in organic complexes by cell organelles) were found during the vegetative period of apple seedlings. The low content of inorganic Fe forms is an indication of the relatively low mobility of Fe compounds in plants. There was a tendency towards abnormal accumulation and transport of Fe, Zn, Mn, and Cu with excess or deficiency of Zn or Fe in the nutrient medium.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
Threshold uncertainty score0.100

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.016
GPT teacher head0.224
Teacher spread0.208 · 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