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Record W6893740409 · doi:10.5281/zenodo.3866910

Cylindroiulus parisiorum

2017· article· en· W6893740409 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typearticle
Languageen
FieldMaterials Science
TopicDiatoms and Algae Research
Canadian institutionsBC Research (Canada)
Fundersnot available
KeywordsConfusionExtinction (optical mineralogy)Threatened speciesHistorical recordHabitat

Abstract

fetched live from OpenAlex

165. Cylindroiulus parisiorum (Brölemann & Verhoeff, 1896) Iulus parisiorum Brölemann & Verhoeff, 1896. Iulus luscus auct. Cylindroiulus ignoratus Attems, 1927. Distribution AT, BE, CH, CZ, DE, DK-DEN, FR-FRA, GB-GRB, GB-NI, HR, HU, IT-ITA, MC, NL, PL, SI, UA. Habitat In at least Britain, Belgium, Denmark and Switzerland it occurs as a subcorticole in rural sites and is found in hollow decaying trees, soft wood and sawdust. Elsewhere the records are usually synanthropic, usually in gardens, parks, spoil heaps, greenhouses or graveyards. Recorded from the catacombs in Paris, quarries, a wood yard and rural localities in France, including a wheatfield. Remarks While the map shows records scattered from France to the Ukraine, the vast majority of these come from south and east England, with fewer than 10 from France and three from Belgium; the others are isolated captures. It occurrs in association with human activity in all the countries shown, except Belgium (forest) and Switzerland (Caricaie wetlands). It is a fairly rare species, and some records are likely to be erroneous owing to possible confusion with other tail-less Cylindroiulus species. This includes the extra-European record from St. Helena Island by Hoffman (1977). We have left out some of the more doubtful records on the map. Regarded as threatened with extinction in Germany (Voigtländer et al. 2011).

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: none
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.005

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 head0.043
GPT teacher head0.282
Teacher spread0.239 · 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
Published2017
Admission routes1
Has abstractyes

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