MétaCan
Menu
Back to cohort
Record W4247627776 · doi:10.1021/cen-09418-meetings

90th ACS Colloid & Surface Science Symposium

2016· article· en· W4247627776 on OpenAlexaboutno aff
Linda Wang

Bibliographic record

VenueC&EN Global Enterprise · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Materials Characterization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsColloidNanotechnologyMaterials scienceEngineeringChemical engineering

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.603

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.005
GPT teacher head0.240
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueC&EN Global EnterpriseSame topicAdvanced Materials Characterization TechniquesFrench-language works237,207