MétaCan
Menu
Back to cohort
Record W7128409624

Pěstování kanadských borůvek (Vaccinium corymbosum L.) za pomoci vybraných hnojiv a stimulátorů

2024· dissertation· cs· W7128409624 on OpenAlexaboutno aff
Adéla VONDRUŠOVÁ

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2024
Typedissertation
Languagecs
FieldAgricultural and Biological Sciences
TopicBerry genetics and cultivation research
Canadian institutionsnot available
Fundersnot available
KeywordsFertilizerVacciniumPlant growthSelection (genetic algorithm)Plant production
DOInot available

Abstract

fetched live from OpenAlex

The bachelor's thesis is focused on the issue of growing Canadian blueberries (Vac-cinium corymbosum L.). The effect of three different fertilizers and one stimulator for plant growth and berry yields were verified. An unfertilized plant was chosen as a comparative variant. After the application of fertilizers and stimulator, the evaluated indicators were continuously recorded. In total, seven plants were verified. The results show that some of the preparations positively affected growth and yield. The Special and lower concentration of LH+ proved to be the fertilizers with significant effect on growth. The effect on plant growth which is on the borderline of significance was observed with fertilizer Kristalon and higher concentration of LH+. With use of the stimulator Gelstim B better growth was not statistically confirmed even so after application there was big increase in height of plants. The measured results presented in the bachelor's thesis can serve blueberry growers as an aid in the selection of fertilizer preparations.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.690
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0050.001
Open science0.0010.000
Research integrity0.0020.002
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 head0.014
GPT teacher head0.263
Teacher spread0.248 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueDigital Repository (National Repository of Grey Literature)Same topicBerry genetics and cultivation researchFrench-language works237,207