MétaCan
Menu
Back to cohort
Record W7112518788

Mogućnost predviđanja pozne inkompatibilnosti kod trešnje analizom peroksidazne aktivnosti

2015· article· W7112518788 on OpenAlexaboutno aff

Bibliographic record

VenueAgroSpace (University of Belgrade, Faculty of Agriculture) · 2015
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicPlant Disease Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsGraftingPolyacrylamide gel electrophoresisPeroxidaseZymographyIsozyme
DOInot available

Abstract

fetched live from OpenAlex

This study was carried out on one-year old sweet cherry trees of ‘Burlat’, ‘Canada Giant’, ‘Hedelfinger’, ‘Summer Sun’ and ‘Sunburst’ grafted on both ‘Colt’ and ‘Gisela 6’ in order to determine their compatibility. For this purpose, peroxidase (PRX) isoenzyme bands were identified by polyacrylamide gel electrophoresis (PAGE). Samples of inner bark were taken 12 months after grafting from the following three zones: rootstock, grafting union (which included 5 cm above and below grafting union) and central part of the scion. ‘Hybrid’ zymogram of PRX from grafting union having all bands from both graft partners might indicate compatible grafting combination between ‘Summer Sun’ and ‘Colt’. In all the other cultivar/rootstock combinations, some symptoms of incompatibility can be expected. The results showed that peroxidase activity could be used as a parameter in the early determination of possible graft incompatibility in sweet cherry.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
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 head0.039
GPT teacher head0.216
Teacher spread0.178 · 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 teacher head, not a consensus.

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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueAgroSpace (University of Belgrade, Faculty of Agriculture)Same topicPlant Disease Management TechniquesFrench-language works237,207