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Record W1952799215 · doi:10.1002/9780470571224.pse188

Preclinical Safety Evaluation of Immunotoxins

2010· other· en· W1952799215 on OpenAlexaff
Jennifer G. Brown, Joycelyn Entwistle, Nick Glover, Glen C. MacDonald

Bibliographic record

VenuePharmaceutical Sciences Encyclopedia · 2010
Typeother
Languageen
FieldImmunology and Microbiology
TopicToxin Mechanisms and Immunotoxins
Canadian institutionsViventia Bio (Canada)
Fundersnot available
KeywordsImmunotoxinPseudomonas exotoxinIn vivoIn vitroRecombinant DNAAntibodyExotoxinCancer researchComputational biologyMedicineChemistryToxinImmunologyBiologyMonoclonal antibodyMicrobiologyBiotechnologyGeneBiochemistry

Abstract

fetched live from OpenAlex

Abstract Immunotoxins continue to be actively investigated as viable alternatives to conventional therapies for a variety of diseases. An array of different recombinant, antibody formats have improved the overall in vitro and preclinical in vivo efficacy of immunotoxins. This article describes the development of immunotoxins and the preclinical development required for advancing VB4‐845, an anti–EpCAM targeting scFv linked to a truncated form of Pseudomonas exotoxin A(252‐608), into the clinic.

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)0.001
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.065
GPT teacher head0.385
Teacher spread0.320 · 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".

Quick stats

Citations3
Published2010
Admission routes1
Has abstractyes

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