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Record W6912425500 · doi:10.5281/zenodo.4598586

Mastigimatidae Bekker-Migdisova 1973

2021· article· en· W6912425500 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicTardigrade Biology and Ecology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSister groupMonophylyWhite (mutation)TaxonSister

Abstract

fetched live from OpenAlex

Family * Mastigimatidae Bekker-Migdisova, 1973, stat. nov. Bharatianinae White & Hodkinson, 1985: 272. Comments The taxon was diagnosed by Burckhardt & Ouvrard (2012) and Burckhardt et al. (2018b). The former suggested the following sister group relationships: Bharatiana + Mastigimas and Cecidopsylla + Synpsylla, and Burckhardt et al. (2018b) indicated that Toonapsylla may be closely related to the former clade. Cho et al. (2019) showed that Cecidopsylla and Toonapsylla are not closely related and that the former has a basal position within Psylloidea. For this reason we transfer Cecidopsylla to Aphalaridae. Toonapsylla shares a series of morphological characters with Bharatiana + Mastigimas (Burckhardt et al. 2018b), supporting the monophyly of the three genera. Synpsylla resembles Cecidopsylla in the shape of the head, antennae and forewings but there are also important differences such as absence/presence of submedian ridges on the metapostnotum or number and arrangement of the apical metatibial spurs. Awaiting new evidence, we leave Synpsylla in the Mastigimatidae. Included genera Bharatiana Mathur, 1973; * Mastigimas Enderlein, 1921 (syn. Coelocara); Synpsylla Yang, 1984; Toonapsylla Burckhardt, 2018 in Burckhardt et al. (2018b).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0490.008

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 head0.036
GPT teacher head0.211
Teacher spread0.176 · 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; both teacher heads agree on what is shown here.

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
Published2021
Admission routes1
Has abstractyes

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