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Record W6912949504 · doi:10.5281/zenodo.6183737

Glyptotendipes (Glyptotendipes) barbipes Staeger

2011· article· en· W6912949504 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsBrackish waterHolarcticLarvaSaline waterDistribution (mathematics)

Abstract

fetched live from OpenAlex

Glyptotendipes (Glyptotendipes) barbipes (Staeger) (Fig. 2 C–E) Material examined. CANADA: Manitoba, Lake Winnipeg, Gimli Government Wharf, 1 female, 1 male 24.vi.1969 & 9.ix.1969; Grand Rapids Government Wharf, 11 males, 28.vi.1969. The male imagines have 23–35, 29 (5) sensilla chaetica in apical half of ta1 of p2, none on p3. Hypopygium as in Fig. 2 C. One female has 98 sensilla chaetica at 0.25–0.80 of ta1 of p2, 103 sensilla chaetica at 0.20–0.80 of ta1 of p3. The female genitalia are illustrated in Fig 2 D, E (from Saether (1977 fig. 80 C–D) and described by Contreras- Lichtenberg (1996: 20). Distribution and ecology. The species is Holarctic and Oriental, but does not occur in Southern Europe and in North Africa. In North America it is found from Alaska and British Columbia to New Brunswick and New York and south to California, New Mexico and South Carolina (Townes 1945: 141, Oliver et al. 1990: 47, Saether & Spies 2004). The larvae live in puddles and ponds, in brackish waters an in saline inland waters (Lenz 1954 –62: 175, Fittkau & Reiss 1978: 432).

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 score0.032
Threshold uncertainty score0.063

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 communication0.0000.000
Open science0.0000.000
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 head0.031
GPT teacher head0.209
Teacher spread0.178 · 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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