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Record W4399577440 · doi:10.1080/17576180.2024.2342691

16 <sup>th</sup> GCC Closed Forum: ICH M10 implementation; NGS, qPCR/dPCR, flow cytometry validation; tissue biomarkers; IS response; immunogenicity harmonization; bioanalytical industry status

2024· article· en· W4399577440 on OpenAlexaff
Jennifer Zimmer, Amanda Hays, Todd Lester, Manisha R. Diaz, Eric D. Thomas, Mark Odell, Elizabeth Hyer, Shabnam Tangri, Naveen Dakappagari, Moucun Yuan, Amy Lavelle, Shane Karnik, Aihua Liu, Bin Xu, Kurt J. Sales, Shashank Gorityala, G. Reynolds, Tim Sangster, Dean Franckaert, Iain Love, Vimal Patel, Martin Roberge, Jenny Lin, Erik Jerks, Tao Xu, Wei Garofolo, Sankeetha Nadarajah, Robert Kernstock, Dawn Dufield, David E Ambrose, Dominic Warrino, Marsha Luna, Chantal Di Marco, Ariana Tudoroniu, A. Iordăchescu, Mitesh Sanghvi, Hollie Barton, Michael Brown, Brian Hoffpauir, Agostinho G. Rocha, Kelly Dong, Jim Yamashita

Bibliographic record

VenueBioanalysis · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsGrand Challenges CanadaPharma Medica Research (Canada)Aptose Biosciences (Canada)
Fundersnot available
KeywordsBioanalysisHarmonizationImmunogenicityFlow cytometryComputational biologyChemistryMedicineBiologyChromatographyMolecular biologyImmunologyPhysics

Abstract

fetched live from OpenAlex

The 16th GCC Closed Forum was held in Orlando, FL, USA, on 23 June 2023. Representatives from international bioanalytical Contract Research Organizations were in attendance in order to discuss scientific and regulatory issues specific to bioanalysis. The issues discussed at the meeting included: IS response, flow cytometry, changes to the bioanalytical industry, NGS assays, biomarker assay for tissues, dPCR validation, immunogenicity harmonization and ICH M10 implementation. Conclusions and consensus from discussions of these topics are included in this article.

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)0.019
metaresearch head score (Gemma)0.019
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: Other
Teacher disagreement score0.066
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.019
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.004
Scholarly communication0.0060.002
Open science0.0030.004
Research integrity0.0140.004
Insufficient payload (model declined to judge)0.0660.041

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 head0.024
GPT teacher head0.340
Teacher spread0.316 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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