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Record W7116630316 · doi:10.1111/jpy.70119

Nanoscale phycology

2025· article· en· W7116630316 on OpenAlexaff
David G. Mann

Bibliographic record

VenueJournal of Phycology · 2025
Typearticle
Languageen
FieldMaterials Science
TopicDiatoms and Algae Research
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsGeorge (robot)Style (visual arts)Assemblage (archaeology)Volume (thermodynamics)

Abstract

fetched live from OpenAlex

In 1980, the Sixth Symposium on Recent and Fossil Diatoms was held in Budapest, Hungary. It was the first opportunity many of us had to meet our colleagues from behind the “Iron Curtain” and an early harbinger of the perestroika of politics and science that took place a decade later and is now being reversed. There were many worthy contributions, and as was usual at the time, the Proceedings were published in a special volume edited by Ross (1981). One of the presentations that was not included in the volume was one by the late Beatrice Booth of the Department of Oceanography, University of Washington, who showed a series of slides of curious tiny cells, covered by elaborate silica plates that abutted to form a continuous wall, rather than overlapping as in scaly synurophytes. The slide projection during this symposium was tricky (the Hungarian projector didn't like some of our transparencies), but participants, including micropaleontologists and widely experienced botanists (e.g., Hans Adolf von Stosch), were introduced to these “new” organisms, and Beatrice asked whether we had seen anything like them previously or had any idea what they might be. None of us had. A paper was published the same year (Booth et al., 1980), reporting and illustrating the cells from nanoplankton in the Gulf of Alaska. It was suggested that they were “likely a cyst stage and that they may be part of the life cycle of species of siliceous oceanic choanoflagellates.” Of course, at that time, there was no realistic possibility of using DNA or protein sequence data to check their true affinities, and “opisthokonts” and “stramenopiles” were concepts of the far future.

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: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.006

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 head0.012
GPT teacher head0.323
Teacher spread0.311 · 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
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
Published2025
Admission routes1
Has abstractyes

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