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Record W2067819940 · doi:10.1038/npre.2009.3868.1

BioPortal: Ontologies and Integrated Data Resources at the Click of a Mouse

2009· preprint· en· W2067819940 on OpenAlexfundno aff
Patricia L. Whetzel, Nigam H. Shah, Natalya F. Noy, Benjamin Dai, Michael C. Dorf, Nicholas Griffith, Clément Jonquet, Cherie Youn, Adrien Coulet, Chris Callendar, Daniel L. Rubin, Barry Smith, Margaret‐Anne Storey, Christopher G. Chute, Mark A. Musen

Bibliographic record

VenueNature Precedings · 2009
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiomedical Text Mining and Ontologies
Canadian institutionsnot available
FundersNational Institutes of HealthUniversity of VictoriaMayo Clinic
KeywordsOpen Biomedical OntologiesOntologyComputer scienceRDFSearch engine indexingWorld Wide WebInformation retrievalVisualizationSemantic WebProcess ontologyData miningSuggested Upper Merged Ontology

Abstract

fetched live from OpenAlex

Abstract BioPortal ("http://bioportal.bioontology.org":http://bioportal.bioontology.org) is an open repository of biomedical ontologies that provides programmatic and web-based access to ontologies developed in OBO, OWL, Protégé frames, and RDF. Features include browsing, searching, and visualization of ontologies. Searching of integrated data resources is also possible through ontology-based indexing of biomedical resources with BioPortal ontologies.

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)0.004
metaresearch head score (Gemma)0.011
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: Software · Consensus signal: none
Teacher disagreement score0.091
Threshold uncertainty score0.304

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0050.009
Open science0.0030.010
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0910.089

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 head0.025
GPT teacher head0.314
Teacher spread0.289 · 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
GenreSoftware

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

Citations50
Published2009
Admission routes1
Has abstractyes

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