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Record W6949555762 · doi:10.5281/zenodo.15755415

Lasionycteris noctivagans

2020· article· en· W6949555762 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCanyonWildlifeWildlife refugeRecreationHistorical record

Abstract

fetched live from OpenAlex

Lasionycteris noctivagans (Le Conte, 1831) Silver-haired Bat The distribution of L. noctivagans, although occurring throughout most of the United States and southern Canada, is not well known in the southern portion of its range (Bee et al. 1981; Caire et al. 1989; Davis and Schmidly 1994). Caire et al. (1989) reported only four specimens from four counties. Since then, records were reported for Cimarron County (Dalquest et al. 1990), McCurtain County (Sheffield and Chapman 1992), and Beaver and Oklahoma counties (Braun and Revelez 2005). New records are reported for Caddo and Le Flore counties. Specimen records (3).— Caddo County (2): 6 km N Wichita Mountains National Wildlife Refuge, Blue Canyon II Windfarm, Slick Hills, 623.9 m, 34°51'45.74"N, - 98°36'28.62"W (OMNH 59658); 6 km N Wichita Mountains National Wildlife Refuge, Blue Canyon II Windfarm, Slick Hills, 600.1 m, 34°52'19.64"N, - 98°36'47.76"W, 1 (OMNH 59659). Le Flore County (1): 6.1 km W Cedar Lake Recreation Area, Ouachita Wildlife Management Area, 1 (UCOCV-MAM 2124).

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 score0.009
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.056
GPT teacher head0.216
Teacher spread0.160 · 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
Published2020
Admission routes1
Has abstractyes

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