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Record W1562060445 · doi:10.1002/cem.2535

Process analytical chemistry and chemometrics, Bruce Kowalski's legacy at The Dow Chemical Company

2013· article· en· W1562060445 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Chemometrics · 2013
Typearticle
Languageen
FieldChemistry
TopicSpectroscopy and Chemometric Analyses
Canadian institutionsDow Chemical (Canada)
Fundersnot available
KeywordsChemometricsChemistryProcess analytical technologyIndustrial chemistryAnalytical Chemistry (journal)Graduate studentsProcess (computing)EngineeringComputer scienceChemical engineeringBiochemical engineeringSociologyOrganic chemistryChromatographyBioprocess

Abstract

fetched live from OpenAlex

With the passing of Bruce R. Kowalski in 2012, a true visionary for chemometrics and process analytical chemistry has been lost. Bruce made significant contributions in the area of chemometrics and process analytical chemistry when he was a professor of chemistry at the University of Washington. He developed new and innovative chemometrics technology and founded the Center for Process Analytical Chemistry. He inspired many students and visiting scholars and had a significant impact on the practice of industrial analytical chemistry. One of the companies that benefitted greatly from Bruce's work was The Dow Chemical Company. This publication attempts to summarize Bruce's legacy at Dow through a discussion of Dow's involvement in the beginnings of the Center for Process Analytical Chemistry and the ongoing research and applications of chemometrics by his former graduate students at The Dow Chemical Company. Copyright © 2013 John Wiley & Sons, Ltd.

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.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.196
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.007
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.014
GPT teacher head0.277
Teacher spread0.262 · 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