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Record W4361861319 · doi:10.47371/mycosci.myc51248

DNA-based geographic typing of the gourmet mushroom <i>Tricholoma matsutake</i> traded in China

2010· article· en· W4361861319 on OpenAlexafffund
Jianping Xu, Matt Cadorin, Y Y Liang, Zhu‐Liang Yang

Bibliographic record

VenueMycoscience · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsMcMaster University
FundersChinese Academy of SciencesNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaMcMaster UniversityGenome Canada
KeywordsMushroomChinaBiologyAgaricalesBotanyGeographyTaxonomy (biology)Archaeology

Abstract

fetched live from OpenAlex

Tricholoma matsutake is among the most valuable mushrooms in the world, and natural populations of this species from different geographic regions are priced very differently. To examine the geographic origins of ‘matsutake’ mushrooms traded in China, we analyzed the mushrooms from two major production and trading regions in China, the Southwest and the Northeast, using a recently published retroelement-based DNA marker. Our analyses showed that 67% of commercial matsutake claimed to be from the northeast were in fact genetically identical to those from the southwest but were different from authentic northeast samples. The finding suggests that caution should be applied to the authentication of commercial matsutake from northeast China.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.922
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.242
Teacher spread0.224 · 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.

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
Published2010
Admission routes2
Has abstractyes

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