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Record W6892319716 · doi:10.5061/dryad.mw6m9060r

Sanger sequences of marpissoid salticids for Kelawakaju placement

2022· dataset· en· W6892319716 on OpenAlexaff

Bibliographic record

VenueOpen MIND · 2022
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNucleofectionGestational periodTSG101LiquationDysgeusiaProteogenomicsDiafiltrationFusible alloyHyporeflexia

Abstract

fetched live from OpenAlex

The genus Kelawakaju Maddison & Ruiz, gen. nov., is described for a lineage of bark-dwelling Asian marpissine jumping spiders that represent a dispersal to Eurasia separate from that of the Marpissa-Mendoza lineage, according to the phylogeny recovered from analysis of four gene regions. All of the species of Kelawakaju are new except K. frenata (Simon, 1901), comb. nov., which is here transferred from Ocrisiona Simon, 1901. K. frenata is known from Hong Kong, Guangdong, Guangxi, and likely Taiwan. The five new species are Kelawakaju mulu Maddison & Ruiz (type species of Kelawakaju, from Sarawak, Malaysia, ♂♀), K. intexta Maddison & Ruiz (from Sarawak, ♂), K. leucomelas Maddison & Ng (Singapore and Johor Bahru, ♂♀), K. sahyadri Vishnudas, Maddison, & Sudhikumar (India, ♂♀), and K. singapura Maddison & Ng (Singapore, ♂♀), all sp. nov.

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)0.004
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.047
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.008
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0470.023

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 head0.075
GPT teacher head0.374
Teacher spread0.300 · 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
Published2022
Admission routes1
Has abstractyes

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