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Record W2525591958 · doi:10.11646/zootaxa.4171.1.7

The genus Prothrombosternus (Coleoptera: Curculionidae: Molytinae) rediscovered: a male from Rubeho Mountains, Tanzania

2016· article· en· W2525591958 on OpenAlexaff
Vasily V. Grebennikov

Bibliographic record

VenueZootaxa · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsCanadian Nutrition SocietyCanadian Food Inspection Agency
Fundersnot available
KeywordsBiologyCurculionidaeGenusWeevilTanzaniaThreatened speciesEcologyZoologyBiological dispersalHabitatBotanyGeographyDemography

Abstract

fetched live from OpenAlex

A male specimen of the monotypic weevil genus, Prothrombosternus Voss, 1965, so far known on the basis of only five syntypes from Mt. Meru and Mt. Hanang, Tanzania, is reported from the Rubeho Mountains, Tanzania. The lectotype of Prothrombosternus tarsalis Voss, 1965 is designated using a male from Mt. Meru. The Rubeho specimen shares the same external and genital morphological characters with the lectotype (both extensively illustrated) and, therefore, both are considered conspecific. The DNA barcode of the Rubeho specimen is publicly available at dx.doi.org/10.5883/DS-PROTHRO. All six known specimens of Prothrombosternus are flightless and were found by sifting leaf litter at elevations between 1833-2500 m in wet Afromontane forests. The genus is, therefore, thought to be restricted to this highly fragmented habitat threatened by human encroachment. Presence of the genus on both geologically old (Rubeho Mountains; >10Ma) and young (Mt. Meru and Mt. Hanang volcanoes, <2Ma) forested highlands suggests presently unknown means of dispersal. The phylogenetic position of the genus is unknown and its taxonomic placement in Cycloterini cannot be presently tested.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.212
Teacher spread0.204 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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