MétaCan
Menu
Back to cohort
Record W1819810997

The ambrosia beetle, Gnathotrichus retusus (Coleoptera: Scolytidae) breeding in red alder, Alnus rubra (Betulaceae)

2000· article· en· W1819810997 on OpenAlexaffabout
Susanne Kühnholz, John H. Borden, Rory L. McIntosh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsAmbrosia beetleAlderBiologyAmbrosiaBroodBotanyBark (sound)CurculionidaeEcologyPollen
DOInot available

Abstract

fetched live from OpenAlex

Brood adult ambrosia beetles recovered from well established galleries in a wind-thrown red alder, Alnlls rubra Bongard, on Burnaby Mountain, Burnaby, British Columbia, were identified as Cnalholrichlls retllslIS LeConte. The tree was attacked to a height of 25.8 m. Galleries penetrated up to 17.5 cm into the wood. The mean density of gallery entrance holes ( ± SE) was 120 ± 31.9 per m2 of the bark surface. The mean production of brood in five completely dissected galleries was 13.2 ± 5.5. These results show conclusively that C. relusus in British Columbia can breed successfully in an angiosperm host. Key Words: Cnalhotrichlls reilisus, Alnlls rubra, ambrosia beetle

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 score0.112
Threshold uncertainty score0.223

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)0.0020.000

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 head0.007
GPT teacher head0.205
Teacher spread0.198 · 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

Citations6
Published2000
Admission routes2
Has abstractyes

Explore more

Same topicForest Insect Ecology and ManagementFrench-language works237,207