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Record W1979030411 · doi:10.1080/01916122.2014.942004

Online access to the Kalgutkar and Jansonius database of fossil fungi

2014· article· en· W1979030411 on OpenAlexaff
Mary L. Berbee, Ludovic Le Renard, David Carmean

Bibliographic record

VenuePalynology · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsSimon Fraser UniversityUniversity of British Columbia
Fundersnot available
KeywordsCompendiumTaxonInformation retrievalThumbnailComputer scienceDatabasePhylogenetic treeWorld Wide WebBiologyPaleontologyGeographyArchaeologyArtificial intelligence

Abstract

fetched live from OpenAlex

An important compendium of fossil fungi is now publicly available through a searchable online database. The original compendium was the work of Kalgutkar and Jansonius, who combed through 238 references and collated and annotated published descriptions for 1783 taxa of fungal fossils. By translating these data to a FileMaker Pro database and to the Web, we increase options for searching, sorting, annotating and updating this information. Database search results provide lists of names, ages and thumbnail images of palynomorphs. An individual record from the results list can be expanded in a new browser window to show a complete description for a taxon. The database is timely because developments in molecular systematics are helping to place spore characters in a phylogenetic framework. Some of the previously ambiguous fossil fungi can now be placed into phylogenetic lineages. We anticipate that the Web version of the data will serve as a convenient entry point into the fungal fossil record, leading to integration of more information from fossils into fungal phylogenies.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.663
Threshold uncertainty score0.201

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.234
Teacher spread0.197 · 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 teacher head, 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

Citations13
Published2014
Admission routes1
Has abstractyes

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