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Record W4299353731 · doi:10.1093/glycob/cwl054

Program and abstracts for the 2006 meeting of the society for Glycobiology

2006· article· en· W4299353731 on OpenAlexaff

Bibliographic record

VenueGlycobiology · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsMount Sinai Hospital
FundersUniversity of California, San DiegoNational Tsing Hua UniversityUniversity of California, Los AngelesUniversity of OxfordUniversity of California, DavisUniversidad de SonoraSveučilište u Zagrebu
KeywordsGlycobiologyEngineering ethicsComputational biologyData scienceChemistryComputer scienceGlycanEngineeringBiologyBiochemistry

Abstract

fetched live from OpenAlex

Attendance is open to all interested scientists and is free of charge.Heading into the next funding period, the CFG plans to focus Participating Investigator (PI) meetings on the biology of glycan-protein interactions.This first PI meeting of the new funding period will focus on "Glycan binding proteins: Biological insights from glycan microarrays" and will include presentations by PIs using CFG resources.Attendees will also be updated on progress at the CFG during the last year, including the glycomics initiative and updates to the databases.New initiatives for the coming years will be presented.There will be an opportunity for PIs to provide feedback on the generation of resources and on initiatives such as the creation of a reagent bank.The agenda can be found at http://glycomics.scripps.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.316
Threshold uncertainty score0.976

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.000
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3160.180

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 head0.011
GPT teacher head0.281
Teacher spread0.270 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2006
Admission routes1
Has abstractyes

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