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Record W2806510314 · doi:10.1080/00275514.2018.1466586

A Festschrift in Honor of Meredith Blackwell

2018· article· en· W2806510314 on OpenAlexaff
Spatafora, Aime, Zhang, Keith A. Seifert

Bibliographic record

VenueMycologia · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsAgriculture and Agri-Food Canada
FundersUniversity of AlabamaUniversity of Louisiana at Lafayette
KeywordsBiologyMycologySystematicsHonorEvolutionary biologyMedical mycologyPhylogenetic treeZoologyLibrary scienceTaxonomy (biology)GeneticsBotanyGeneComputer science

Abstract

fetched live from OpenAlex

will be remembered as the golden age of molecular systematics of Fungi. The development of the Polymerase Chain Reaction (PCR), automated sequencing, and explicit algorithms for inferring phylogenetic trees transformed fungal systematics into a hypothesis-testing discipline that would go on to serve as the foundation for comparative and evolutionary genomics. Many mycologists participated in this modernization of mycology and perhaps none more than Meredith Blackwell. She has played - and continues to play - a leadership role in transforming mycology into a modern science based on a robust understanding of organismal biology, development, testing and refinement of biologically meaningful hypotheses, and incorporation of emerging technologies to data collection and analysis. In this volume we recognize Meredith and her contributions to mycology with the publication of the first Festschrift issue in the 110 year history of Mycologia.

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)0.005
metaresearch head score (Gemma)0.014
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 score0.030
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0050.004
Scholarly communication0.0090.006
Open science0.0010.005
Research integrity0.0040.011
Insufficient payload (model declined to judge)0.0300.023

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 head0.008
GPT teacher head0.237
Teacher spread0.229 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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