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Record W2790266886 · doi:10.3390/toxins10030109

MycoKey Round Table Discussions of Future Directions in Research on Chemical Detection Methods, Genetics and Biodiversity of Mycotoxins

2018· article· en· W2790266886 on OpenAlexaff
John F. Leslie, Veronica M. T. Lattanzio, Kris Audenaert, Paola Battilani, Jeffrey W. Cary, S. Chulze, Sarah De Saeger, Annamaria Gerardino, Petr Karlovský, Yu‐Cai Liao, Chris M. Maragos, Giuseppe Meca, Ángel Medina, Antonio Moretti, Gary P. Munkvold, Giuseppina Mulè, Patrick Berka Njobeh, Ivan Pecorelli, Giancarlo Perrone, Amedeo Pietri, Juan Manuel Palazzini, Robert H. Proctor, Endang Sutriswati Rahayu, María Laura Ramirez, Robert A. Samson, Jörg Stroka, Michael Sulyok, Mark W. Sumarah, Cees Waalwijk, Qi Zhang, Hao Zhang, Antonio Logrieco

Bibliographic record

VenueToxins · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsAgriculture and Agri-Food Canada
FundersHorizon 2020 Framework ProgrammeU.S. Department of Agriculture
KeywordsMicrobiomeBiodiversityProtocol (science)Focus groupData scienceBiotechnologyBiologyComputer scienceBioinformaticsMedicineBusinessEcologyMarketing

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score0.169

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.085
GPT teacher head0.352
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 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

Citations10
Published2018
Admission routes1
Has abstractyes

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