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Record W2022906936 · doi:10.1586/14789450.5.4.549

The 8th International Conference of the Canadian Proteomics Initiative

2008· article· en· W2022906936 on OpenAlexaffabout
Christoph H. Borchers

Bibliographic record

VenueExpert Review of Proteomics · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsProteomicsGenomicsLibrary scienceQuantitative proteomicsProteogenomicsData sciencePolitical scienceBiologyGenomeComputer scienceGenetics

Abstract

fetched live from OpenAlex

The 8th International Conference of the Canadian Proteomics Initiative (CPI) was held at the Hilton Vancouver Metrotown Hotel in Burnaby, British Columbia from 3–5 May, 2008. With nearly 200 delegates, 32 speakers and more than 50 poster presentations, CPI 2008 covered a wide range of topics, including novel technologies, human and clinical proteomics, structural proteomics, bioinformatics, post-translational modifications, membrane and receptor proteomics, and plant and animal proteomics. This year’s conference was also highlighted by hands-on proteomics workshops at the University of Victoria Genome BC Proteomics Centre and the University of British Columbia, an inaugural meeting of the British Columbia Proteomics Network and focus meetings exploring opportunities for the formation of a nationwide association for Canadian proteomics and Genome British Columbia’s efforts towards large-scale global genomics and proteomics projects.

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)0.010
metaresearch head score (Gemma)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.963
Threshold uncertainty score0.932

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0060.002
Scholarly communication0.0120.003
Open science0.0030.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0500.015

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 head0.047
GPT teacher head0.323
Teacher spread0.276 · 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
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
Published2008
Admission routes2
Has abstractyes

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