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Record W1491036646 · doi:10.1002/0471250953.bi0809s12

Searching, Viewing, and Visualizing Data in the Biomolecular Interaction Network Database (<scp>BIND</scp>)

2005· article· en· W1491036646 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Protocols in Bioinformatics · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBioinformatics and Genomic Networks
Canadian institutionsLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
Fundersnot available
KeywordsComputer scienceMetadataVisualizationSoftwareThe InternetInteraction networkDatabaseWorld Wide WebInformation retrievalData miningChemistryProgramming language

Abstract

fetched live from OpenAlex

The Biomolecular Interaction Network Database (BIND) comprises data from peer-reviewed literature and direct submissions. BIND's data model was the first of its kind to be peer-reviewed prior to database development, and is now a mature standard data format spanning molecular interactions, small molecule chemical reactions, and interfaces from three-dimensional structures, pathways, and genetic interaction networks. BIND supports additional file formats to achieve compatibility with other database efforts, including the HUPO PSI Level 2. BIND's latest software spans over 2000 metadata fields and is constructed using the Java Enterprise Systems software platform. Protocols are provided for searching BIND via the Internet, as well as for viewing and exporting search results or individual records. Furthermore, a protocol is provided for visualizing biomolecular interactions within BIND or for transferring this information to the visualization tools Cytoscape and Cn3D.

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.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.001
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 head0.066
GPT teacher head0.384
Teacher spread0.317 · 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