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Record W6930599717 · doi:10.5281/zenodo.15156774

Table 1 in An updated classification of the jumping plant-lice (Hemiptera: Psylloidea) integrating molecular and morphological evidence

2021· dataset· en· W6930599717 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typedataset
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTable (database)Pro re nataJumpingPike

Abstract

fetched live from OpenAlex

Table 1. Species in Psyllidae originally assigned to Limbopsylla Brown & Hodkinson, 1988 and their current generic placement. Species listValid generic assignmentAuthorityLimbopsylla beeryi (Caldwell, 1944)Apsyllopsis mexicana (Crawford, 1914)Burckhardt & Queiroz (2020)Limbopsylla boquetensis Brown & Hodkinson, 1988Heteropsylla boquetensis (Brown & Hodkinson, 1988)Muddiman et al. (1992)Limbopsylla campanellai Brown & Hodkinson, 1988Euphalerus campanellai (Brown & Hodkinson, 1988)Hollis & Martin (1997)Limbopsylla caradociforma Brown & Hodkinson, 1988Hollisiana caradociforma (Brown & Hodkinson, 1988) comb. nov.comb. nov.Limbopsylla chirui Brown & Hodkinson, 1988not congeneric with L. nata (placement to be determined)not congeneric with L. nata Limbopsylla estribii Brown & Hodkinson, 1988 (placement to be determined)Limbopsylla lagunculariae Brown & Hodkinson, 1988Telmapsylla lagunculariae (Brown & Hodkinson, 1988) comb. nov.comb. nov.Limbopsylla nata Brown & Hodkinson, 1988type species of LimbopsyllaBrown & Hodkinson (1988)Limbopsylla nigrivenis Brown & Hodkinson, 1988Hollisiana nigrivenis (Brown & Hodkinson, 1988) comb. nov.comb. nov.Limbopsylla tumidicosta Brown & Hodkinson, 1988not congeneric with L. nata (placement to be determined)Limbopsylla sp. A of Brown & Hodkinson, 1988not congeneric with L. nata (placement to be determined)

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)0.001
metaresearch head score (Gemma)0.002
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: Dataset · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0670.030

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 head0.282
Teacher spread0.239 · 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
GenreDataset

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
Published2021
Admission routes1
Has abstractyes

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