ISMB 2008 Toronto
Bibliographic record
Abstract
The International Society for Computational Biology (ISCB) presents the Sixteenth International Conference on Intelligent Systems for Molecular Biology\n(ISMB 2008), to be held in Toronto,\nCanada, July 19–23, 2008. Now in the\nfinal phases of scheduling selected presentations, demonstrations, and posters, the\norganizers are preparing what will likely\nbe recognized as the premier conference\non computational biology in 2008. ISMB\n2008 (http://www.iscb.org/ismb2008/)\nwill follow the road paved by the ISMB/\nECCB 2007 (http://www.iscb.org/\nismbeccb2007/) in Vienna in the attempt\nto specifically encourage increased participation from previously under-represented\ndisciplines of computational biology. This\nconference will feature the best of the\ncomputer and life sciences through a\nvariety of core sessions running in multiple\nparallel tracks, along with single-tracked\nKeynote Presentations, posters on display\nthroughout the duration of the conference,\nand an extensive commercial exposition.\nThe first day (July 18) of the meeting is\nreserved for two-day Special Interest Group\n(SIG) and Satellite meetings, the second day\n(July 19) runs SIGs for the first time in\nparallel with Tutorials and the Student\nCouncil Symposium, and for the first time\ntwo SIGs are running in parallel with the\nmain ISMB meeting (July 20–23)
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".