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Fungal Nomenclature at IMC10: Report of the Nomenclature Sessions

2014· article· en· W2331975556 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIMA Fungus · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsAgriculture and Agri-Food Canada
FundersBritish Mycological SocietyUniversity of Pittsburgh
KeywordsNomenclatureTypificationLibrary scienceSteering committeePolitical scienceLawTaxonomy (biology)Computer scienceBiologyZoologyEngineering

Abstract

fetched live from OpenAlex

Three Nomenclature Sessions were convened during the 10(th) International Mycological Congress (IMC10) in Bangkok on 3-8 August 2014. In addition a Questionnaire was given to all delegates. This Report reviews and summarizes the views expressed in the Sessions and in the responses to the Questionnaire. The issues covered related to aspects of: registration, protected names, forgotten names, pleomorphic fungi, lichenized fungi, typification, diagnoses, and governance. In addition, reports were received from working groups preparing lists of names to be proposed for protection, and controversial cases of competing names were discussed. The Congress was mandated to ratify decisions of the Nomenclature Committee for Fungi (NCF) on the appointment of repositories for the registration of new fungal names. After discussion in the Sessions on the decision of the NCF to appoint three such bodies, a Resolution to that effect was approved by the Congress. The Congress also adopted a Resolution asking that the opinions of mycologists on future directions for the nomenclature of fungi be taken into account in formulating changes in the rules for consideration at the International Botanical Congress in 2017.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.778
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.005
GPT teacher head0.216
Teacher spread0.211 · 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