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Record W4206917187 · doi:10.1186/s12919-020-00188-y

Abstracts from the 26th European Society for Animal Cell Technology Meeting - Cell culture technologies: bridging academia and industry to provide solutions for patients

2020· article· en· W4206917187 on OpenAlexafffund

Bibliographic record

VenueBMC Proceedings · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicViral Infectious Diseases and Gene Expression in Insects
Canadian institutionsMcGill University
FundersComisión Nacional de Investigación Científica y TecnológicaJapan Society for the Promotion of ScienceEngineering and Physical Sciences Research CouncilGeneralitat de CatalunyaUCB PharmaNatural Sciences and Engineering Research Council of CanadaMinisterium für Wirtschaft, Arbeit und Wohnungsbau Baden-WürttembergImperial College LondonCentro para el Desarrollo Tecnológico IndustrialFundação para a Ciência e a TecnologiaFundação de Amparo à Pesquisa do Estado de São PauloCanada First Research Excellence FundAustrian Science FundMinistry of Education, Culture, Sports, Science and TechnologyCHIST-ERAAgence Nationale de la RechercheFaculdade de Ciências e Tecnologia, Universidade Nova de LisboaNational Research Council CanadaUniversity College LondonJapan Agency for Medical Research and Development
KeywordsCell cultureRecombinant DNALimitingCellCloning (programming)TimelineMolecular biologyCell biologyBiologyBiochemistryComputer scienceGeneticsGeneMathematics

Abstract

fetched live from OpenAlex

A multifaceted approach to accelerate cell line development whilst maintaining quality. (A) Protein A HPLC quantified day 14 fed-batch titres for recombinant cell lines derived from Apollo™ (limiting dilution cloning) and Apollo™ X (Chemostat) host cell lines. Four mAbs were expressed in each cell line. (B) Timeline showing transfection to research cell bank in 10 weeks, (C) Protein A HPLC quantified day 14 fed-batch titres for six recombinant DG44 cell lines expressing the same mAb

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)0.005
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.091
Threshold uncertainty score0.304

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0910.041

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 head0.017
GPT teacher head0.243
Teacher spread0.226 · 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

Citations1
Published2020
Admission routes2
Has abstractyes

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