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Record W7111909924

Reproductive Output by Garlic Mustard Populations

2025· other· W7111909924 on OpenAlexaboutno aff

Bibliographic record

VenueSUNY Digital Repository Support (State University of New York System) · 2025
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsResource (disambiguation)Mustard seedPlant speciesMustard Plant
DOInot available

Abstract

fetched live from OpenAlex

Garlic mustard (Alliaria petiolata) is an invasive species originating in Europe and Asia that was introduced to the United States in the 19th century. Since then, it has been found around the east coast and up to Canada. This study aims to determine the reproductive output of garlic mustard by measuring total plant mass, seed mass, percent seed mass per plant, and estimated seed output from four sites in New York. Two were located on Purchase College Campus in Westchester (Westchester 1, Westchester 2), the other two were located upstate near Woodstock, New York (Catskills 1, Catskills 2). Twenty five plants from each location were collected, weighed, and had their seeds extracted and weighed. Five random seed samples from each site were selected with fifty seeds weighed from each to get average seed mass per site. Research demonstrated the Catskills sites being favored for greater plant mass, seed mass, and seed count, however, site Westchester 2 demonstrated most efficient seed output for its plant mass, despite being the lowest in plant mass and total seed mass. This indicates a trade off between total seed output and resource use efficiency, possibly due to environmental factors. More studies are needed to determine causes for garlic mustard favoring the Catskills sites and resource usage.

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 score0.020
Threshold uncertainty score0.040

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 studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.208
Teacher spread0.189 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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