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Record W2583856583 · doi:10.1093/neuros/nyw172

In Memoriam: G. Robert “Bob” Nugent

2017· article· en· W2583856583 on OpenAlexaboutno aff
Charles L. Rosen

Bibliographic record

VenueNeurosurgery · 2017
Typearticle
Languageen
FieldMedicine
TopicHistory of Medical Practice
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGeorge (robot)West virginiaGerontologyArt historyHistoryArchaeology

Abstract

fetched live from OpenAlex

G. Robert “Bob” Nugent passed away October 31, 2016 at his longtime home in Morgantown, West Virginia. He was born on February 6, 1921 in Yonkers, New York. The son of the late Alberta and George F. Nugent, he served in the Maritime Service, during World War II. He attended Kenyon College, graduating Cum Laude. In 1958, Bob met and married the love of his life, Virginia Hayes. Bob attended The University of Cincinnati School of Medicine, where he had the privilege of working with 2 renowned physicians Dr. Albert Sabin and Dr. Joseph Evans. Dr. Evans and other faculty members at Cincinnati were instrumental in convincing Bob to pursue a career in Neurosurgery. He was accepted into residency at Duke University where he trained from 1953 to 1958 under the tutelage of 2 mentors, Dr. Barnes Woodhall and Dr. Guy Odom. Following completion of training, Bob returned to Cincinnati to be the Chief of Neurosurgery at the Cincinnati Veterans Association. In 1961, a close friend and the first Chairman of the new Department of Neurosurgery, Dr. Barney Bloor, successfully recruited Bob to come to West Virginia University (WVU) where he stayed until his death in October. Bob remained clinically active until age 92, at which point he “slowed down” and limited his involvement to resident education. His 50-plus-year career at WVU had innumerable highlights. Bob served as Chair of the Department of Neurosurgery from 1970 to 1985; he was the team physician for Mountaineer Football for 43 years; he was the founding Chairman of the Board of Directors of the WVU Medical Corporation and the founding President of the West Virginia Neurosurgical Society. He also received numerous accolades from WVU and the state, including the highest honor afforded by the university in 1994 when he was named to the Order of Vandalia. Dr. Nugent had a thriving practice, and was considered a skillful and compassionate clinician. He was known internationally for his ability to treat trigeminal neuralgia. More than 2000 patients travelled from around the US and the world to seek treatment from him. Bob inspired many young students to pursue neurosurgery. He has trained multiple generations of neurosurgeons, who affectionately called him “The Boss.” His legacy lives on in those whom he trained. His extraordinary career was only possible for the love of Virginia, to whom he was married for 62 years. Travelers, renaissance explorers, and elegant dancers, Bob and Virginia were loved by many. Dr. Bob Nugent is survived by his children, Dana Nugent and husband, Joe Henry, of Davis, Robert Nugent, of Morgantown, Leslie and Hank Hartz, of Richmond, Virginia, Barnes Nugent, of Morgantown, and Courtney and Joy Nugent, of Morgantown. His grandchildren include Anya Aylesworth, Whitney, Ian, and Elliott Hartz, and Grant Nugent. Disclosure The author has no personal, financial, or institutional interest in any of the drugs, materials, or devices described in this article.

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)0.002
metaresearch head score (Gemma)0.019
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 score0.047
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0470.047

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 head0.039
GPT teacher head0.333
Teacher spread0.293 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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