MétaCan
Menu
← Back to cohort
Record W6949037167 · doi:10.5281/zenodo.11324409

Phenacomys ungava Merriam 1889

2005· article· en· W6949037167 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsPleistoceneObligateVernacularNew guinea

Abstract

fetched live from OpenAlex

Phenacomys ungava Merriam 1889 Phenacomys ungava Merriam 1889, N. Amer. Fauna, 2: 35. Type Locality: Canada, Quebec Prov., Fort Chimo, near Ungava Bay. Vernacular Names: Eastern Heather Vole. Synonyms: Phenacomys celatus Merriam 1889; Phenacomys crassus Bangs 1900; Phenacomys latimanus Merriam 1889; Phenacomys mackenzii Preble 1902; Phenacomys soperi Anderson 1942. Distribution: S Yukon across much of Canada to E Labrador; southwards skirting the E Rocky Mountains to S Alberta, along the N Great Lakes and lower St. Lawrence River, SE Quebec. Conservation: IUCN – Lower Risk (lc). Discussion: See remarks under P. intermedius and McAllister and Hoffmann (1988) on proper usage of ungava for this form. Distributional limits in late Pleistocene much farther south, as far as N Arkansas, C Tennessee, and Virginia (Graham and Lundelius, 1994).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.024

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.002

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 head0.037
GPT teacher head0.240
Teacher spread0.203 · 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
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicSpecies Distribution and Climate Change→French-language works237,207→