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Record W6912543377 · doi:10.5281/zenodo.3867771

Cylindroiulus broti

2017· article· en· W6912543377 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera: Cerambycidae studies
Canadian institutionsBC Research (Canada)
Fundersnot available
KeywordsNational parkMontane ecologyHabitatLarchSubalpine forestLitterDeciduousPicea abies

Abstract

fetched live from OpenAlex

114. Cylindroiulus broti (Humbert, 1893) Iulus broti Humbert, 1893. Julus allobrogicus Brölemann, 1896. Cylindroiulus castanearum Verhoeff, 1930. Distribution CH (Valais, Ticino), FR-FRA (Alps), IT-ITA (Alps and Apennines). Habitat Montane, subalpine and alpine from 400 to 2200 m in Switzerland (Pedroli-Christen 1993), up to 2400 m in the Oisans area of the French Alps (Schubart 1954) and up to 2500 m in the Ecrins National Park (Geoffroy 1981b) where it was observed principally in forests including Larix decidua, Fagus sylvatica, Populus tremula Alnus viridis, Betula, Pinus sylvestris, Pinus uncinata, Abies and Picea, but also in meadows with these trees, high level grasslands, rocky places and heaths or moors. In the Vanoise National Park it was similarly distributed and particularly abundant in subalpine grassy Larix forests (Geoffroy 1983). In the Alpes Maritimes C. broti is assocated with Rhododendron, Vaccinium moors and the more open Larix stands containing many alpine flowers. In the Ticino and in Italy, from 500 m up to 1450 m. Also in Italy in Castanea woodland, in Corylus litter from 1100 to 1200 m and in Fagus litter at 1250 m. Remarks A common species within its range. There is some possible confusion between records of this species and those of C. decipiens from the Apennines in Central Italy (see Strasser 1970).

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.000
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.005

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 head0.049
GPT teacher head0.243
Teacher spread0.194 · 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 designOther design
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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