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Record W6912647488 · doi:10.5281/zenodo.3788764

Catocala verrilliana Grote 1875

2010· article· en· W6912647488 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMediterranean and Iberian flora and fauna
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)TRIPS architectureType (biology)

Abstract

fetched live from OpenAlex

Catocala verrilliana syn. werneri Biederman Fig. 45 (lectotype) Catocala werneri Biederman, 1909: 76 Catocala verrilliana syn. werneri; Barnes and McDunnough 1918: 37 Catocala verrilliana syn. werneri; McDunnough 1938: 117 Catocala verrilliana syn. werneri; Franclemont and Todd 1983: 129 Type material. Catocala werneri: the original description does not state the number of types. A female type is at the USNM, and is designated as lectotype to clarify application of the name werneri. Th e lectotype bears the labels “Palmerlee / Ariz.”, “ Catocala / werneri / Type Biederman”, “Photograph / Pl. X No. 1.” Type Locality: Palmerlee, Huachuca Mountains, Arizona, [USA]. Acknowledgments We thank the following individuals for providing access to collections under their care, loans of material, and/or hospitality during trips during our museum excursions: D. Azuma and J. Weintraub (ANSP); J. Miller, E. Quinter and F. Rindge (AMNH); W. Gall (Buffalo Museum of Science); N. Penny (California Academy of Sciences); J. D. Lafontaine (CNC); J. Rawlins (CMNH); J. Franclemont and J. Liebherr (CUIC); P. Parillo (FMNH); W. Mey and W. Spiedel (Museum fur Naturkunde of Humboldt University); D. Bowers and S. Shaw (MCZ); D. Ferguson, D. Furth, R. Hodges, M. Pogue, R. Poole (USNM); M. Honey and G. Martin (BMNH); T. McCabe (New York State Museum); H. Stein and H. Sturm (Roemer- unde Pelizaeus Museum and Hildesheim University); P. Becker and H. Riemann (Ubersee Museum, Bremen); and V. Brou (Abita Springs, Louisiana), J. Peacock (Marion, Ohio), D. Schweitzer (Port Norris, New Jersey), J. Slotten (Gainesville, Florida), and D. Wagner (Mansfield, Connecticut). G. Anweiler (Edmonton, Alberta), D. Lafontaine, J. Peacock, and C. Schmidt (CNC) provided helpful comments on the manuscript, and Jocelyn Gill (CNC) and Aimee Burg (PMNH) helped prepare the figures. Partial financial assistance provided by the Goelet-Cary Fund, Yale University.

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)0.001
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 score0.050
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0390.010

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 head0.031
GPT teacher head0.214
Teacher spread0.182 · 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
Published2010
Admission routes1
Has abstractyes

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