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Record W2119413356 · doi:10.4056/sigs.3737409

Meeting Report: Fungal ITS Workshop (October 2012)

2013· article· en· W2119413356 on OpenAlexaff
Scott T. Bates, Steven Ahrendt, Holly M. Bik, Thomas D. Bruns, J. Gregory Caporaso, James H. Cole, Michael G. Dwan, Noah Fierer, Dai G, Shawn Houston, Rob Knight, Jon Leff, Christopher T. Lewis, Juan P. Maestre, Daniel McDonald, R. Henrik Nilsson, Andrea Porras‐Alfaro, Vincent Robert, Conrad L. Schoch, James A. Scott, D. Lee Taylor, Laura Wegener Parfrey, Jason Stajich

Bibliographic record

VenueStandards in Genomic Sciences · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsPublic Health OntarioUniversity of TorontoAgriculture and Agri-Food Canada
FundersAlfred P. Sloan Foundation
KeywordsInternal transcribed spacerRibosomal RNABiologyComputational biologyGeneLibrary scienceGeneticsComputer science

Abstract

fetched live from OpenAlex

This report summarizes a meeting held in Boulder, CO USA (19-20 October 2012) on fungal community analyses using ultra-high-throughput sequencing of the internal transcribed spacer (ITS) region of the nuclear ribosomal RNA (rRNA) genes. The meeting was organized as a two-day workshop, with the primary goal of supporting collaboration among researchers for improving fungal ITS sequence resources and developing recommendations for standard ITS primers for the research community.

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)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.109
Threshold uncertainty score0.364

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.1090.061

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 head0.017
GPT teacher head0.286
Teacher spread0.269 · 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

Citations34
Published2013
Admission routes1
Has abstractyes

Explore more

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