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Record W3007861846 · doi:10.1089/hum.2020.016

The Carter Lab at NIH: A Model of Inclusive Excellence in Biomedical Research

2020· review· en· W3007861846 on OpenAlexaboutno aff
R. A. Owens

Bibliographic record

VenueHuman Gene Therapy · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsExcellenceAdeno-associated virusCenter of excellenceBiologyMedicinePolitical scienceGeneticsGeneVector (molecular biology)Recombinant DNA

Abstract

fetched live from OpenAlex

In the 1980s and early 1990s, Dr. Barrie Carter served as the chief of the Laboratory of Molecular and Cellular Biology in the National Institute of Diabetes and Digestive and Kidney Diseases at the National Institutes of Health. During that time, his group performed seminal work in adeno-associated virus (AAV) type 2 (AAV2) biology, including creating one of the first infectious clones of AAV2 and some of the first packaged AAV2 vectors. This work contributed substantially to the development of AAVs as gene therapy vectors. Part of the success of the group was due to Dr. Carter's ability to attract and manage a diverse team of talented individuals who synergized into a collaborative group that was more than the sum of its parts. This review describes some of the promising practices employed by the Carter group, which allowed such a diverse group to function so well. These practices included promoting a culture of co-mentoring, open communication, and respectful questioning.

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)0.007
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.005
Scholarly communication0.0050.008
Open science0.0020.005
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0040.002

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 head0.146
GPT teacher head0.447
Teacher spread0.301 · 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.

Study designNot applicable
DomainIncentives
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

Citations1
Published2020
Admission routes1
Has abstractyes

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