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Record W331371595 · doi:10.2509/naf2010.005.0056

North American Fungi

2014· paratext· en· W331371595 on OpenAlex
Esteri Ohenoja, Martti Ohenoja

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNorth American Fungi · 2014
Typeparatext
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsnot available
Fundersnot available
KeywordsTundraMossLichenEcologyRussulaSubarctic climateTaigaBiologyBotanyArcticGeography

Abstract

fetched live from OpenAlex

In all 143 fungal taxa collected in the years 1971 and 1974 are presented from different habitats of the Arctic and Subarctic tundra in the Keewatin and Franklin areas of N.W.T., Canada and at Fort Churchill, Manitoba. Of the 143 species reported, 122 species are new in N.W.T. and Fort Churchill. The diversity of mycorrhizal species was highest in drier lichen-moss and moss tundra heaths, and in late snow patches, the most common genera being Cortinarius , Inocybe , Hebeloma , Lactarius , and Russula . The most frequent saprobic fungi were Hygrocybe , Arrhenia , Clitocybe , Galerina some of which are bryophilous and Helvella species. In the forest tundra, numerous species typical of conifer forests were found as mycorrhizal symbionts of Picea and Larix . These collections remain the primary source of information on macrofungi in this region.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.023

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 head0.012
GPT teacher head0.221
Teacher spread0.209 · 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