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Record W2560525897

Reexamination of Ehrenberg's Neogene Radiolarian Collections and its Impact on Taxonomic Stability

2009· article· en· W2560525897 on OpenAlexaboutno aff
Noritoshi Suzuki, Kaoru Ogane, Yoshiaki Aita, Toyosaburo Sakai, David Lazarus

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtist diversity and phylogeny
Canadian institutionsnot available
Fundersnot available
KeywordsConfusionNeogeneNomenclatureType (biology)Taxonomy (biology)ArchaeologyHistoryPaleontologyGeographyGenealogyGeologyZoologyBiology
DOInot available

Abstract

fetched live from OpenAlex

All remaining Neogene polycystine radiolarian specimens which were examined by Ehrenberg were searched for in the Ehrenberg Collection, Museum fur Naturkunde, Humboldt Uni- versity, Berlin, Germany. Almost all the illustrated specimens in his publications were located by using published and unpublished source materials. These specimens are candidate lectotypes. Howev- er, rigid application of the International Code of Zoological Nomenclature (ICZN) would in some case causes scientifically unfruitful confusion and dispute because of very different modern accepted usage of several generic names (i.e. Acanthosphaera, Cenosphaera, Dictyophimus and Pterocanium). For these alternate type species may be required. Some illustrated specimens in publications are also broken by cracks in the embedding Canada balsam (i.e. Podocyrtis aegles) or are poorly preserved (i.e. Haliomma hexagonum) so that alternate type specimens may be required. For these reasons, we do not formally designate types in our paper, only pointing out taxonomic problems where appropri- ate.

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)0.014
metaresearch head score (Gemma)0.037
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.037
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.007
Science and technology studies0.0030.003
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.243
Teacher spread0.230 · 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

Citations10
Published2009
Admission routes1
Has abstractyes

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