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Record W2021129775 · doi:10.1586/17512433.2.1.9

Transitioning biomarkers into the clinic

2008· article· en· W2021129775 on OpenAlexaboutno aff
Scott A. Waldman

Bibliographic record

VenueExpert Review of Clinical Pharmacology · 2008
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsnot available
Fundersnot available
KeywordsClinical pharmacologyEditorial boardMedicinePharmacologyLibrary science

Abstract

fetched live from OpenAlex

Scott Waldman is currently the Chairman of the Department of Pharmacology and Experimental Therapeutics and the Director of the Division of Clinical Pharmacology. He is the Samuel MV Professor, Department of Medicine and Biochemistry and Molecular Pharmacology. Waldman's research interests focus on molecular pathways underlying early intestinal tumorigenesis and their utility as novel targeted agents for managing patients with colorectal cancer. Waldman obtained his BSc degree in Biology from the University at Albany, his PhD degree in Anatomy from Thomas Jefferson University and his MD degree from Stanford University. He was a postdoctoral fellow at the University of Virginia and Stanford University in the Division of Clinical Pharmacology. He has received numerous honors and awards. He currently has 20 awarded patents and 30 patents pending related to novel diagnostic, therapeutic and immunological targets for gastrointestinal malignancies. He is a member of several editorial boards and scientific peer-review committees. Waldman has over 200 publications in various journals, including Proceedings of the National Academy of Science, Gastroenterology, Journal of Biological Chemistry and Journal of Clinical Investigation. Waldman has served on many councils and chaired NIH study sections. He is currently a member of the Osler Society and the College of Reviewers for the Canada Research Chairs Program. He is a past member of the American Board of Clinical Pharmacology, a past Regent of the American College of Clinical Pharmacology and a past President of the American Society for Clinical Pharmacology and Therapeutics.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.239
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.104
GPT teacher head0.509
Teacher spread0.405 · 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.

Study designNot applicable
Domainnot available
GenreReview

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
Published2008
Admission routes1
Has abstractyes

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