8th HUPO World Congress: The Human Disease Glycomics/Proteomics Initiative (HGPI) Session 26 September 2009, Toronto, Canada
Bibliographic record
Abstract
The Human Disease Glycomics/Proteomics Initiative (HGPI) Session at the HUPO World Congress was held in Toronto on 26 September 2009. In this report, we summarize the presentation of the HGPI workshop as follows: (i) The results of the past HGPI pilot studies (first and second) in which we analyzed N- and O-linked glycans using standard glycoproteins (i.e. first: N-linked glycan analysis of transferrin and IgG; second: O-linked glycan analysis of IgA). (ii) The recent progresses of the current HGPI third pilot study. The third analytical pilot study is in progress to perform the two tasks, which are glycan structural analysis and identification of proteins which carry specific carbohydrate antigen (Lewis X antigen) using cancer cells (i.e. L428, U937, and SK-N-SH), under the theme of "Glyco-Biomarker Discovery". Finally, recently advanced glycomic and glycoproteomic analyses were also reported.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.178 | 0.036 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".