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Record W3159793774 · doi:10.5539/sar.v10n3p19

Worldwide Introduction of North American Pawpaw (Asimina triloba): Evidence Based on Scientific Reports

2021· article· en· W3159793774 on OpenAlexvenueno aff
Robert G. Brannan, Maria N. Coyle

Bibliographic record

VenueSustainable Agriculture Research · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBanana Cultivation and Research
Canadian institutionsnot available
Fundersnot available
KeywordsChinaScope (computer science)GeographyAnnonaceaeBiologyAgroforestryBotanyArchaeology

Abstract

fetched live from OpenAlex

The North American pawpaw (Asimina triloba) is a small tree native to the Appalachian region of the United States that produces large, yellowish-green to brown fruit that has the flavor of a banana and mango. The scope of this review is limited to pawpaw orchards outside of North America that were intentionally planted for commercial or research purposes and are documented in the scientific literature. This review identified nine countries outside of North America (Romania, Italy, Ukraine, Slovakia, Austria, Georgia, Russia, Japan, Korea) and across two continents that have scientific literature that describes pawpaw cultivation. There are reports that pawpaws are cultivated in China, Israel, Belgium, and Portugal, however, no scientific literature could be found that describes pawpaw research from these countries. Most of the research since 2010 has featured pawpaws grown in Romania, Italy, and Korea with a focus on characterizing roots, twigs, leaves, pulp and seeds or the toxicity and/or bioactivity of the annonaceous acetogenins naturally found in these parts of the pawpaw.

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)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.048
GPT teacher head0.314
Teacher spread0.267 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2021
Admission routes1
Has abstractyes

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