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Record W6949903103 · doi:10.5281/zenodo.5491072

Neusticurus ecpleopus Cope 1876

2003· article· en· W6949903103 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsLaharNational laboratoryTechnical universityINT

Abstract

fetched live from OpenAlex

NEUSTICURUS ECPLEOPUS SPECIMENS EXAMINED Dry skulls. Collected in Peru (mostly in the Rio Cenepa area, except as indicated); measurements are from tip of premaxilla to posterior edge of supraoccipital: MVZ 163395, 11.7 mm; MVZ 163397, 12 mm; MVZ 163389, 12.1 mm; MVZ 174957, 12.2 mm (Rio Santiago); MVZ 163390, 12.3 mm; MVZ 174956, 13.5 mm (Rio Santiago); MVZ 163400, 14 mm; MVZ 163388, 14.5 mm; MVZ 163395, 15.1 mm; MVZ 163410, 16.1 mm; and MVZ 163394, disarticulated. Cleared and double-stained specimens. Specimen SVLs are followed by sex, where known, and percentage maximum size based on that reported for each sex by Sherbrooke (1975) (average of male and female maximum sizes used to calculate percentage in specimens where sex is unknown): KU 48246, 22.4 mm SVL (33%), Napo, Ecuador; USNM 316870, 22.9 mm SVL (34%), Amazonas, Peru; KU 109803, 23.6 mm SVL (35%), Napo, Ecuador; MVZ 163166, 23.6 mm SVL (35%), Peru; KU 148251, 25.8 mm SVL (male, 36%), Napo, Ecuador; MVZ 174949, 26.7 mm SVL (40%), Peru; KU 109781, 27.3 mm SVL (male, 38%), Napo, Ecuador; MVZ 174920, 28.7 mm SVL (female, 46%), Peru; KU 109809, 28.9 mm SVL (female, 47%), Napo, Ecuador; MVZ 174928, 30.5 mm SVL (female, 49%), Peru; MVZ 174905, 31.8 mm SVL (female, 51%), Peru; KU 109789, 32.9 mm SVL (female, 53%), Napo, Ecuador; MVZ 163147, 34.3 mm SVL (male, 48%), Peru; MVZ 174901, 37.9 mm SVL (57%), Peru; MVZ 174899, 39 mm SVL (female, 63%), Amazonas, Peru; MVZ 163185, 40.7 mm SVL (female, 66%), Peru; MVZ 174953, 45.2 mm SVL (male, 63%), Amazonas, Peru; MVZ 174896, 47.6 mm SVL (female, 77%), Peru; MVZ 163187, 51.1 mm SVL (male, 71%), Amazonas, Peru; MVZ 163145, 55.6 mm SVL (male, 77%), Amazonas, Peru; MVZ 163202, 59.1 mm SVL (female, 95%), Peru; MVZ 174891, 63.2 mm SVL (male, 88%), Amazonas, Peru.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1570.037

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 head0.058
GPT teacher head0.196
Teacher spread0.138 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2003
Admission routes1
Has abstractyes

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