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Record W6899282905 · doi:10.5886/jcq7t9e9

Cercle des mycologues de Montréal Fungarium (CMMF) from Université de Montréal Biodiversity Centre

2012· other· fr· W6899282905 on OpenAlexaboutno aff

Bibliographic record

VenueCanadensys · 2012
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAmateurWest indies

Abstract

fetched live from OpenAlex

The Cercle des mycologues de Montréal Fungarium is a relatively recent collection, founded in 1988. The collection holds fungi collected by Yves Lamoureux, scientific advisor of the Cercle des mycologues de Montréal (CMM - http://www.mycomontreal.qc.ca/) over a twenty years period, and by members of the CMM and other amateur mycological societies. It includes more than 5000 dried specimens of macrofungi (Fungi) and some slime molds (Amoebozoa, formerly Myxomycetes) of Quebec and neighbouring provinces/states, representing about 2000 species. Almost all specimens were photographed before drying. This dataset comprises all digitized specimens, links to the images, and their metadata. -- Le fongarium du Cercle des mycologues de Montréal est une collection relativement récente, créée en 1988. Elle réunit en majeure partie des champignons récoltés sur une période de vingt ans par Yves Lamoureux, conseiller scientifique du Cercle des mycologues de Montréal (CMM - http://www.mycomontreal.qc.ca/) et par des mycologues amateurs, membres du CMM ou autres. Le fongarium compte plus de 5000 spécimens séchés de macromycètes (Fungi) et quelques dizaines de myxomycètes (Amoebozoa) du Québec, et des provinces et états voisins, qui totalisent environ 2000 espèces. La plupart des spécimens ont été photographiés avant séchage. Cette ensemble de données inclut tous les spécimens numérisés avec les liens vers les photos (et leurs métadonnées).

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)0.001
metaresearch head score (Gemma)0.005
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.136
Threshold uncertainty score0.278

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.008
Science and technology studies0.0040.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0830.018

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 head0.009
GPT teacher head0.158
Teacher spread0.149 · 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
GenreDataset

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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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