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Record W1994250013 · doi:10.1055/s-0029-1242456

Robin P. Boushey, M.D., Ph.D.

2009· article· en· W1994250013 on OpenAlexfundaboutno aff
David E. Beck

Bibliographic record

VenueClinics in Colon and Rectal Surgery · 2009
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsnot available
FundersUniversity of TorontoOttawa Hospital Research InstituteUniversity of Ottawa
KeywordsMedicineMedical schoolUniversity hospitalGeneral surgeryLibrary scienceFamily medicineMedical education

Abstract

fetched live from OpenAlex

Dr. Robin Boushey is a colorectal surgeon and an Assistant Professor of Surgery in the Department of Surgery, Division of General Surgery at the University of Ottawa, Ontario, Canada. Robin was born in Ottawa and received his undergraduate, medical degree, and general surgery residency training at the University of Toronto. During his residency, he also completed a PhD focusing on the biologic actions of glucagon-like peptide-2 at the Institute of Medical Science and the School of Graduate Studies at the University of Toronto. After his residency, he completed a Minimally Invasive Surgery Fellowship at The Centre for Minimally Invasive Surgery at St. Michael's Hospital, University of Toronto. This was followed by additional training in colon and rectal surgery at the Lahey Clinic in Boston, Massachusetts. He then joined the University of Ottawa where he also serves as the Research Director for the Division of General Surgery at the University of Ottawa. He is an investigator with the Ottawa Health Research Institute (OHRI) and heads up a research team whose major interests are in knowledge transfer. He owns several patents and has received multiple grants.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.321

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.053
GPT teacher head0.385
Teacher spread0.333 · 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 designObservational
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
Published2009
Admission routes2
Has abstractyes

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