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Record W1972987676 · doi:10.11646/zootaxa.3647.1.3

<i>Apostenus ducati</i> (Araneae: Liocranidae) sp. nov.: a second Nearctic species in the genus

2013· article· en· W1972987676 on OpenAlexaffabout
Robb Bennett, Claudia Copley, Darren Copley

Bibliographic record

VenueZootaxa · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSpider Taxonomy and Behavior Studies
Canadian institutionsRoyal British Columbia Museum
Fundersnot available
KeywordsBiologyNearctic ecozoneGenusZoology

Abstract

fetched live from OpenAlex

Apostenus ducati sp. nov. is described from montane areas in or adjacent to the Columbia River basin of southeastern British Columbia in Canada and northern Washington and northwestern Montana in the United States. This is the second Nearctic species of this primarily Palaearctic genus. Unlike most liocranids, A. ducati apparently is restricted to open rocky habitats, such as talus and scree slopes, and on mountain peaks. Throughout most of its range, specimens occur in low numbers and populations are patchily distributed. Also, populations appear to be concentrated in the upper regions of the Flathead River watershed in British Columbia, an area of significant and competing ecological and economic values. Because of these factors, A. ducati is potentially a species of conservation concern.

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 score0.038
Threshold uncertainty score0.076

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)0.0030.001

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 head0.019
GPT teacher head0.237
Teacher spread0.218 · 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
Published2013
Admission routes2
Has abstractyes

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