International Congress on Biophotonics (1st) (ICOB 2008). Held in Sacramento, California on February 3-7, 2008
Bibliographic record
Abstract
The NSF Center for Biophotonics Science & Technology (CBST) of UC Davis hosted the 1st International Congress on Biophotonics (ICOB) on February 3 7, 2008 in Sacramento, California. The purpose of the meeting was to gather thought leaders from around the world, representing academia (researchers and educators), industry, medicine, and government agencies to create a strategic roadmap for the future of biophotonics research, technology development and education. The rationale for the meeting was the need for a strategic roadmap to provide guidance and direction to further biophotonic science and technology development into those areas of greatest need for creative and innovative solutions to grand challenges in the life sciences and medicine. ICOB was also a venue to present and expand upon www.BioPhotonicsWorld.org , a web based portal to serve as a virtual community for all biophotonics stakeholders , that was developed and launched in September 2007 by CBST and the Canadian Institute for Photonic Innovations, (CIPI)
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.132 | 0.045 |
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".