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Record W6950058153 · doi:10.5281/zenodo.4489236

Hylaeus (Spatulariella) hyalinatus SMITH 1842

2011· article· de· W6950058153 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2011
Typearticle
Languagede
FieldMaterials Science
TopicDiatoms and Algae Research
Canadian institutionsnot available
Fundersnot available
KeywordsNew englandWestern europeMemphis

Abstract

fetched live from OpenAlex

Hylaeus (Spatulariella) hyalinatus SMITH 1842 Abb. 3, 3, Seite 75. Der erste Fund in der Nearktis stammt aus Kanada, südliches Ontario, Essex Co., W Harrow, 28.6.1993, 13, sowie vom Halton Gebiet, Oakville, Exemplare aus den Jahren 2004 und 2005, wurden aber erst 2005 gemeldet (BUCK et al. 2005: 48). Später gelangen am Gelände der Cornell University in Ithaca, New York, weitere Funde 10. Juni 1997, 13, 7. Juli ♀, die aber früher gemeldet wurden (ASCHER 2001) und weitere Funde an verschiedenen Orten im Bundesstaat New York (ASCHER 2006: 237). Die Art ist offenkundig weiter in Ausbreitung begriffen: Neuerdings aus der Region von Chicago (Lincoln Park, Cook County; Glenview und Waukegan in Lake County) und nach Süden aus Pennsylvania (Franklin County) (TONIETTO & ASCHER 2008). Hylaeus hyalinatus ist, wie alle Spatulariella -Arten, westpaläarktisch verbreitet: Von Spanien bis Griechenland, östlich bis zum Kaukasus. Der Verbreitungsschwerpunkt liegt im mittleren und nördlichen Bereich Europas; in den Alpen gesichert bis 1800m Höhe; nördlich bis 60 ° n.Br. in Schweden.

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 score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.002

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 head0.053
GPT teacher head0.250
Teacher spread0.197 · 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
Published2011
Admission routes1
Has abstractyes

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