Announcement of 2019 Keystone Symposia Conference: “Microbiome: Chemical Mechanisms and Biological Consequences”
Bibliographic record
Abstract
The Keystone Symposia will be hosting a conference organized by Emily Balskus, Peter Turnbaugh, and Dennis Wolan entitled "Microbiome: Chemical Mechanisms and Biological Consequences" 10 to 14 March 2019 in Montreal, Québec, Canada. Our goal for this meeting is to focus attention on the intersection of chemistry and biology by bringing together scientists in these two disciplines, while also including talks about other hosts, environmental microbiomes, and multidisciplinary research platforms. The focus of this conference is to emphasize our community's need to continue adopting other scientific disciplines to ultimately generate a broad understanding of microbiomes and the cross talk microbes have with their environment. We are inviting speakers from across the globe that interrogate fundamental chemical processes of microbiomes, including small-molecule and xenobiotic metabolism, natural product synthesis, and the many microbial enzymes responsible for the production of these biologically relevant metabolites. The ability to link the chemical foundations of microbes with biological outcomes would provide tremendous contributions to this emerging field of study.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".