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Fungal Systematics and Evolution: FUSE 5.

2019· article· en· W3008774056 on OpenAlexaff
Jie Song, Junfeng Liang, Mehdi Mehrabi‐Koushki, Irmgard Krisai‐Greilhüber, Barkat Ali, Vinod K. Bhatt, Agustín Cerna Mendoza, Bin Chen, Zai-Xiong Chen, Honglong Chu, Mike Anderson Corazón-Guivin, Gladstone Alves da Silva, André De Kesel, Bálint Dima, Francesco Dovana, Reza Farokhinejad, G Ferisin, Juan Carlos Guerrero‐Abad, Ting Guo, Lihong Han, Sobia Ilyas, Alfredo Justo, Abdul Nasir Khalid, Sadigheh Khodadadi-Pourarpanahi, Tai‐Hui Li, Chao Liu, Marilinda Lorenzini, Junkun Lu, Abdul Samad Mumtaz, Fritz Oehl, Xueyu Pan, Viktor Papp, Qian Wu, Abdul Razaq, Kamal C. Semwal, Lizhou Tang, Xue-Lian Tian, Adela Vallejos-Tapullima, Nicolaas A. van der Merwe, Shengkun Wang, Chaoqun Wang, Rui‐Heng Yang, Fei‐Hai Yu, Giacomo Zapparoli, Ming Zhang, Vladimír Antonín, André Aptroot, Alı Aslan, Arghya Banerjee, Subrata Chatterjee, Alden C. Dirks, Leila Ebrahimi, Khalil‐Berdi Fotouhifar, Youbert Ghosta, L. B. Kalinina, Dilara Karahan, Jingyu Liu, Mrinal K. Maiti, Abhirup Mookherjee, Partha Nath, B. N. Panja, J. K. Saha, Hana Ševčíková, Hermann Voglmayr, Kenan Yazıcı, Danny Haelewaters

Bibliographic record

VenuePubMed · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsBiologyBotanyDothideomycetesIncertae sedisAscomycotaTaxonomy (biology)

Abstract

fetched live from OpenAlex

, belongs to Pyronemataceae (Pezizomycetes, Pezizales).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.164
Teacher spread0.153 · 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
GenreOther

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

Citations86
Published2019
Admission routes1
Has abstractyes

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