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Record W6950022246 · doi:10.5281/zenodo.3867634

Enantiulus armatus

2017· article· en· W6950022246 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typearticle
Languageen
FieldMaterials Science
TopicDiatoms and Algae Research
Canadian institutionsBC Research (Canada)
Fundersnot available
KeywordsWoodlandAltitude (triangle)MassifHabitatFoothillsPlateau (mathematics)Landform

Abstract

fetched live from OpenAlex

264. Enantiulus armatus (Ribaut, 1909) Leptophyllum armatum Ribaut, 1909. Distribution FR-FRA, GB-GRB. Atlantic. Habitat Forest and woodland - Fagus, Fraxinus, Quercus, Carpinus, Tilia, Acer, Populus, Castanea, Corylus. Under bark, in logs and in leaf litter. On several types of soil from clayey inundation forest to rendzinas on limestone, sandy areas and brown earths on metamorphic rocks. Mainly at low altitude but on high limestone plateaus (“causses”) and in volcanic areas up to at least 900 m in the Massif Central of France. In England found in mainly coastal and synanthropic sites including a golf course. Remarks As things stand at present, all the records of Enantiulus armatus from France are from a zone south and west of the River Loire. All the British records are from Devon and Cornwall in SW England. Unless it has been introduced into England it ought to be found in NW France. In so far as it is eurytopic it resembles its congener to the east, Enantiulus nanus (Latzel, 1884) (see below).

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0280.011

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 head0.043
GPT teacher head0.280
Teacher spread0.237 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2017
Admission routes1
Has abstractyes

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