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Record W2918512576 · doi:10.22215/etd/2017-11918

The phytophagous and predatory mites (Acari) on Prunus (Rosaceae) in southeastern Canada

2017· dissertation· en· W2918512576 on OpenAlexaboutno aff
Marie‐Ève Garon‐Labrecque

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
Fundersnot available
KeywordsMiteFaunaAcariBiologyPrunusPhytoseiidaeBotanyTaxonHost (biology)EcologyPredationPredator

Abstract

fetched live from OpenAlex

During summer 2015, 192 samples of foliage were taken from 13 different Prunus species found mostly along the Ottawa River (Quebec, Ontario; 148 samples) and in the Vineland region (Ontario; 44 samples). A total of 39 mites species were collected. Estimators of the true species diversity indicated that most of the mite fauna in the areas sampled was captured. One eriophyid mite species appears to represent a new species for science. In terms of host range, phytoseiids appear to be less specific than eriophyoids and both taxa can exhibit host preferences. In addition to providing an overview of the mite fauna of Prunus foliage and galls, this project provides two identification keys to the eriophyid mite species associated with galls, one based on the mite morphology, and the other based on the morphology of the galls.Keywords:Prunus; phytophagous mites; predatory mites; survey; biodiversity.

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 score0.045
Threshold uncertainty score0.090

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.203
Teacher spread0.196 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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