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Record W2122998269 · doi:10.1517/14728222.11.6.733

The role of vasoactive intestinal peptide in neuroprotection: interview with Professor Illana Gozes

2007· article· en· W2122998269 on OpenAlexaboutno aff
Emma Quigley, Illana Gozes

Bibliographic record

VenueExpert Opinion on Therapeutic Targets · 2007
Typearticle
Languageen
FieldNeuroscience
TopicAnesthesia and Neurotoxicity Research
Canadian institutionsnot available
Fundersnot available
KeywordsEditorial boardLibrary scienceEditor in chiefTel avivManagementMedicine

Abstract

fetched live from OpenAlex

Professor Illana Gozes was interviewed by Emma Quigley (Senior Editor, Expert Opinion) on 17(th) April 2007. Professor Illana Gozes BSc, PhD holds the titles of Professor of Clinical Biochemistry; The Lily and Avraham Gildor Chair for the Investigation of Growth Factors; Director of Adams Super Center for Brain Studies and Levi-Edersheim-Gitter fMRI Institute; Head of the Dr Diana and Zelman Elton (Elbaum) Laboratory for Molecular Neuroendocrinology, Tel Aviv University and Chief Scientific Officer, Allon Therapeutics, Inc., Vancouver BC, Canada. Professor Gozes has served as a member (or chair) of several faculty, university or national and international committees and she currently serves on the Board of Directors of Allon Therapeutics, the Scientific Review Board of the ISOA, and is the Editor-in-Chief of the Journal of Molecular Neuroscience. Professor Gozes has received a number of scientific awards for her work including the Landau Award for an excellent PhD dissertation, the Juludan Prize and the Teva Founders Prize for exceptional scientific studies that may lead to biotechnology developments as well as the Bergmann Prize and the Neufeld award for outstanding/leading US-Israel BSF grant proposals, and has published extensively in the fields of molecular neuroscience and neuroprotection (> 200 scientific manuscripts). She is co-inventor of > 15 patents and applications, including the composition of matter patent on AL-108 and AL-208, Allon's lead compounds. Professor Gozes received a BSc from Tel Aviv University, a PhD from The Weizmann Institute of Science and was a Weizmann Postdoctoral Fellow at Massachusetts Institute of Technology, Research Associate/Visiting Scientist at the Salk Institute and the Scripps Clinic and Research Foundation, a Senior Scientist/Associate Professor at the Weizmann Institute and a Fogarty-Scholar-in-Residence at the National Institutes of Health (USA). Professor Gozes directs a very active research laboratory at Tel Aviv University and is mentoring and has mentored directly approximately 50 graduate students toward their MSc or PhD degrees.

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 categoriesnone
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 score0.328
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.333
Teacher spread0.280 · 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 designBench or experimental
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

Citations1
Published2007
Admission routes1
Has abstractyes

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