Zing Microwave and Flow Chemistry Conference (Napa Valley, USA, July 20–23, 2013)
Bibliographic record
Abstract
This conference brings together an outstanding group of academic and industrial speakers using microwave heating and/or continuous-flow processing in their chemistry platforms. It will be of interest to those who already use these tools in their setting as well as those interested in getting started. The focus of the conference will be on the application of these technologies to organic chemistry and will span production scales from milligrams to multiple kilograms per day. The use of microwave and continuous-flow processing for preparing a wide range of final products will be discussed, including medicinal chemistry, fine chemistry and bulk chemicals. An important part of the conference will be dissemination of new, previously unpublished results. Proposed Session Titles -Microwave chemistry in organic, peptide chemistry -Microwave chemistry in drug discovery/medicinal chemistry -Microwave and flow chemistry in nanomaterial ' s research -Flow chemistry in drug discovery -Flow photochemistry -Microreactor research -Process chemistry/continuous manufacturing -Microwave-assisted flow processing
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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 | 0.001 | 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) | 0.002 | 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".