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Record W2088246182 · doi:10.1080/01647950608684453

A review of the subfamily Amblyseiinae Muma (Acari: Phytoseiidae): part IX. an overview

2006· review· en· W2088246182 on OpenAlexaff
D. A. Chant, J. A. McMurtry

Bibliographic record

VenueInternational Journal of Acarology · 2006
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsToronto ZooUniversity of Toronto
Fundersnot available
KeywordsPhytoseiidaeAcariBiologySubfamilyZoologyEcologyGeneticsPredation

Abstract

fetched live from OpenAlex

The subfamily Amblyseiinae Muma is diagnosed and keys to and brief descriptions of the 9 constituent tribes are provided. The tribes are Amblyseiini Muma, Afroseiulini Chant and McMurtry, Euseiini Chant and McMurtry, Indoseiulini Ehara and Amano, Kampimodromini Kolodochka, Macroseiini Chant, Denmark and Baker, Neoseiulini Chant and McMurtry, Phytoseiulini Chant and McMurtry, and Typhlodromipsini Chant and McMurtry. Exemplar species are figured. We discuss transformations in character states presumed to have occurred in the subfamily and propose a cladogram suggesting the relationships between the 9 tribes. Some corrections to our previous papers in this series are made and species whose descriptions were not available to us before are placed in the genera to which they belong.

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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.004

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 head0.066
GPT teacher head0.340
Teacher spread0.274 · 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
GenreReview

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

Citations39
Published2006
Admission routes1
Has abstractyes

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