Bibliographic record
Abstract
The 90th ACS Colloid & Surface Science Symposium (CSSS), sponsored by the ACS Division of Colloid & Surface Chemistry, will be held on June 5–8 at Harvard University. The technical program includes nearly 600 papers on all fundamental and applied areas of colloid and interface science. The symposium is cochaired by David Weitz of Harvard University, Joyce Wong of Boston University, and Ramanathan Nagarajan of the Army Natick Soldier Research, Development & Engineering Center. Plenary lectures The symposium will feature two plenary lectures. The first, “Entangled Active Matter: From Ants to Living Cells,” will be presented by Françoise Brochard-Wyart of the Curie Institute in Paris. The second plenary lecture, “Nanoparticle Self-assembly: Bridging the Gap between Molecules and Nanoparticles,” will be presented by Eugenia Kumacheva of the University of Toronto. In addition, the 2016 recipient of the Unilever Award for Outstanding Young Investigator in Colloid & Surfactant Science, Matthew Helgeson of
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.062 | 0.063 |
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".