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Record W2950957323 · doi:10.1080/00275514.2019.1619058

In memoriam: Walter Gams (1934–2017)

2019· article· en· W2950957323 on OpenAlexaff
Keith A. Seifert, Rasoul Zare, Richard C. Summerbell

Bibliographic record

VenueMycologia · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsAmateurNomenclatureTaxonomy (biology)BiologyNaturalismClassicsArt historyLibrary scienceHistoryZoologyArchaeologyPhilosophyEpistemology

Abstract

fetched live from OpenAlex

Prof. Dr. Walter Gams, an internationally famous taxonomist, died on 9 April 2017 in Bomarzo, Italy. He spent his career at the Centraalbureau voor Schimmelcultures (CBS) in the Netherlands. Walter specialized in the taxonomy and nomenclature of fungi, in particular little-differentiated hyphomycetes, and was considered the world authority on the identification of soil fungi. He was influential in shaping the rules for fungal nomenclature for several decades. He was presented with the Distinguished Mycologist Award of the Mycological Society of America in 2005. Walter was an all round naturalist and teacher, and an avid amateur musician and patron of the arts. He travelled widely and had friends all over the world, who miss his hospitality and generous spirit.Significant works by this author:10.1080/00275514.1999.1206101610.1080/00275514.1983.1202378310.1080/00275514.1998.1202698410.1080/00275514.1995.12026545

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)0.003
metaresearch head score (Gemma)0.015
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 score0.047
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0470.050

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 head0.236
Teacher spread0.228 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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