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Record W4409340851 · doi:10.56367/oag-046-11711

Horticulture: Hormonal therapy for grapevines

2025· article· en· W4409340851 on OpenAlexaffabout
Jim Willwerth

Bibliographic record

VenueOpen Access Government · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsBrock University
Fundersnot available
KeywordsHorticultureHormonal therapyHormoneBiologyMedicineInternal medicineCancer

Abstract

fetched live from OpenAlex

Horticulture: Hormonal therapy for grapevines Jim Willwerth, Assistant Professor and Researcher at Brock University, Canada, in this horticulture discussion, delves into what we need to know about hormonal therapy for grapevines, including plant growth regulators. Hormones are found across many organisms, including animals, plants and fungi. They consist of a class of signalling molecules that are sent to organs or tissues by biological processes to regulate both physiology and behaviour. In medicine, we treat many ailments and diseases with drugs. Recent advances in treatments such as immunotherapy and hormonal therapy have improved many individuals’ life expectancy and quality of life. Hormonal therapies are used to treat different types of cancer (breast, ovarian, prostate), menopause and others. For cancer treatment, hormone therapy adds, blocks, or removes hormones to slow or stop the growth of certain cancer cells that need hormones to grow.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.089
GPT teacher head0.399
Teacher spread0.309 · 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 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
Published2025
Admission routes2
Has abstractyes

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