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Record W6929950154 · doi:10.5281/zenodo.10167082

Dinaraea subdepressa BC, NB, ON

2023· article· en· W6929950154 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsNatural Resources CanadaAgriculture and Agri-Food CanadaCanadian Forest Service
Fundersnot available
KeywordsHabitatBalsamBlack spruceTable (database)Taxonomy (biology)White (mutation)Taiga

Abstract

fetched live from OpenAlex

89. Dinaraea subdepressa (Bernhauer) (Illustrations in Klimaszewski et al. 2013b, 2018), Table 1 References. Bernhauer, 1907. Klimaszewski et al. 2013b, 2018. Webster et al. 2016. Distribution. Nearctic. Canada: BC, NB, ON. USA: NH. Collection and Habitat data. No NH habitat data was given in the type description; collected in July. In Canada all specimens from NB were captured in Lindgren funnel traps in the following forest types: a red pine forest, an old jack pine forest, an old-growth eastern white cedar forest, an old black spruce forest, mixed forests, a red oak forest, and an old balsam poplar forest near a river. Nothing else is known about the biology and microhabitat requirements for this species, but it probably lives in subcortical habitats like some other members of this genus (Webster et al. 2016, Klimaszewski et al. 2018). Material. USA, New Hampshire, Grafton Co.: Mt. Pleasant House, VII [type locality: nr. Bretton Woods, Bernhauer 1907].

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)0.001
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.556
Threshold uncertainty score0.882

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0340.007

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 head0.687
GPT teacher head0.466
Teacher spread0.221 · 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
Published2023
Admission routes2
Has abstractyes

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