Bibliographic record
Abstract
The 14th International Meeting on Boron Chemistry (IMEBORON-XIV) was held in Niagara Falls, Canada in 2011 and was attended by 270 participants from 18 countries. The 19 articles in this month's Pure and Applied Chemistry (PAC) are derived from the research presented at the conference, which stimulated lively discussion and facilitated new collaborations. The conference was divided into three sections representing organic, inorganic, and medicinal boron chemistry. The participants enjoyed the three plenary lectures from Profs. Holger Braunschweig, Fred Hawthorne, and Varinder K. Aggarwal as well as 141 oral and 111 poster presentations. We would like to acknowledge the direction and support given by the Scientific Committee (Profs. Tom Baker, Rob Batey, Dennis Hall, Warren Piers, and Doug Stephan), as well as the members of the International Organizing Committee, who provided valuable contributions to the planning of the meeting. We appreciate the support of the conference sponsors, as well as IUPAC and the editorial staff of PAC. We also thank all of the attendees and participants for their contributions, and look forward to IMEBORON-XV, which will be held in the Czech Republic in 2014. John Valliant and Laura Harrington Conference Organizers
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.414 | 0.263 |
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".