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Record W3048194562 · doi:10.1021/cen-09737-obits7

M. S. Burnaby Munson

2019· article· war· W3048194562 on OpenAlexaboutno aff
Linda Wang

Bibliographic record

VenueC&EN Global Enterprise · 2019
Typearticle
Languagewar
FieldChemistry
TopicHistory and advancements in chemistry
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

M. S. Burnaby Munson, 86, died on June 23 in Newark, Delaware. “I have never known anyone who exhibited the total commitment to the academic enterprise that Burnaby did. He was a modern-day Mr. Chips! Whether it was cutting-edge research in mass spectrometry, visionary administration, inspired teaching, or heartfelt advising and mentoring (and he excelled in all of these endeavors), Burnaby devoted virtually all of his waking moments to these tasks for the past 52 years. Above all, service to students was at the core of his very being. The University of Delaware and our department were blessed to have shared his wonderful life. Our department will never be the same!”—John L. Burmeister, friend and colleague Most recent title: Emeritus chair of chemistry, University of Delaware Education: BA, chemistry, 1954, and PhD, physical chemistry, 1959, University of Texas at Austin; doctor of science (honorary), University of Delaware, 2019 To recognize

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0440.022

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 head0.003
GPT teacher head0.242
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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