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Record W6911349524 · doi:10.5281/zenodo.11343031

Perognathus parvus Peale 1848

2005· article· es· W6911349524 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2005
Typearticle
Languagees
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsnot available
Fundersnot available
KeywordsSubspeciesGig economyWork space

Abstract

fetched live from OpenAlex

Perognathus parvus Peale 1848 Perognathus parvus Peale 1848, Mammalia, in: Repts. U. S. Expl. Surv., Vol. 8: 53. Type Locality: USA, Oregon, Wasco Co., probably near The Dalles. Vernacular Names: Great Basin Pocket Mouse. Subspecies:: Subspecies Perognathus parvus subsp. parvus Peale 1848 Subspecies Perognathus parvus subsp. bullatus Durrant and Lee 1956 Subspecies Perognathus parvus subsp. clarus Goldman 1917 Subspecies Perognathus parvus subsp. columbianus Merriam 1894 Subspecies Perognathus parvus subsp. idahoensis Goldman 1922 Subspecies Perognathus parvus subsp. laingi Anderson 1932 Subspecies Perognathus parvus subsp. lordi Gray 1868 Subspecies Perognathus parvus subsp. mollipilosus Coues 1875 Subspecies Perognathus parvus subsp. olivaceus Merriam 1889 Subspecies Perognathus parvus subsp. trumbullensis Benson 1937 Subspecies Perognathus parvus subsp. xanthanotus Grinnell 1912 Subspecies Perognathus parvus subsp. yakimensis Broadbrooks 1954 Distribution: Great Basin from S British Columbia (Canada), south to E California and east to SE Wyoming and NW Arizona (USA). Conservation: IUCN – Lower Risk (lc) as P. parvus and P. xanthanotus. Discussion: Reviewed by Verts and Kirkland (1988, Mammalian Species No. 318). Includes xanthonotus (Williams et al., 1993), often considered a distinct species (Hall, 1981; Patton, 1993 b; Verts and Kirkland, 1988, by omission).

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 score0.045
Threshold uncertainty score0.149

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 communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0450.019

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 head0.021
GPT teacher head0.236
Teacher spread0.215 · 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
Published2005
Admission routes1
Has abstractyes

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