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Record W6948663810 · doi:10.5281/zenodo.11333709

Sylvilagus (Sylvilagus) nuttallii

2005· article· en· W6948663810 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2005
Typearticle
Languageen
FieldComputer Science
TopicData Management and Algorithms
Canadian institutionsnot available
Fundersnot available
KeywordsSubspeciesIUCN Red ListAllopatric speciationFaunaEndangered species

Abstract

fetched live from OpenAlex

Sylvilagus (Sylvilagus) nuttallii (Bachman 1837) [Lepus] nuttallii Bachman 1837, J. Acad. Nat. Sci. Philadelphia, 7: 345. Type Locality: "...west of the Rocky Mountains,...streams which flow into the Shoshonee and Columbia rivers"; restricted by Nelson (1909:201) to "eastern Oregon, near mouth of Malheur River." Listed by Bailey (1936) as "near Vale.". Vernacular Names: Mountain Cottontail. Subspecies:: Subspecies Sylvilagus (Sylvilagus) nuttallii subsp. nuttallii Bachman 1837 Subspecies Sylvilagus (Sylvilagus) nuttallii subsp. grangeri J. Allen 1895 Subspecies Sylvilagus (Sylvilagus) nuttallii subsp. pinetis J. Allen 1894 Distribution: Intermountain area of North America from S British Columbia to S Saskatchewan (Canada), south to E California, Nevada, C Arizona, and NW New Mexico (USA). Conservation: IUCN – Lower Risk (lc). Discussion: Subgenus Sylvilagus (Gureev, 1964:168). This species is closely allopatric with S. floridanus where the two species ranges meet across the N and C Great Plains (see map 223, Hall, 1981), and in the Southwestern USA (Hoffmeister and Lee, 1963 b). Reviewed by Chapman (1975 a, Mammalian Species, 56).

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: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.028
GPT teacher head0.234
Teacher spread0.206 · 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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