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Record W6969450038 · doi:10.5281/zenodo.5253158

Chaetocladius (Chaetocladius) ligni Cranston et Oliver

2012· article· en· W6969450038 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsnot available
Fundersnot available
KeywordsSetaMandible (arthropod mouthpart)LarvaGenusSorting

Abstract

fetched live from OpenAlex

Chaetocladius (Chaetocladius) ligni Cranston et Oliver Figs 11A–E Diagnosis. Labrum as in Fig. 11A, SI seta simple; premandible (Fig. 11B) with one apical and one inner tooth, and weak brush; antenna (Fig. 11C) 5-segmented, with 3 rd segment subequal to 4 th, large LO, AR 1.2; mandible (Fig. 11D) with 4 inner teeth; mentum (Fig. 11E) with broad bifid median tooth, 4 lateral teeth (5 th vestigial or absent), with pale vertical “grooves”; VM plates small originating from 1 st lateral tooth; (abdomen missing). Notes. The species is not typical in having a simple SI (usually serrated or divided), single apical tooth (usually two) on premandible and an overhanging abdominal segment 9, with the procerci directed posteriorly (Cranston & Oliver 1988). Ecology and habitat. As xylophagous species, larvae are wood miners (Cranston & Oliver 1988, Saether 1983). Unlike Orthocladius (S.) lignicola larvae that were often encountered when sorting through the samples, larvae of this species were only found by detailed examinations of woody debris. Generally Chaetocladius species have a temperature preference of 6.6–9.3°C (Rossaro 1991). Sampling sites. Killarney and Arrowhead Provincial Parks and Muskoka District Nearctic distribution. First published record for Canada: Ontario. USA: Oregon, North and South Carolina.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.003

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 head0.229
Teacher spread0.186 · 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 designNot applicable
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
Published2012
Admission routes1
Has abstractyes

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