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Record W2008290735 · doi:10.1365/s10337-007-0437-x

A Series of Collaborations between Various Pharmaceutical Companies and Regulatory Authorities Concerning the Analysis of Biomolecules Using Capillary Electrophoresis: Additional Instruments/Buffer

2007· article· en· W2008290735 on OpenAlexaff
Brian K. Nunnally, Sungae Park, Ketaki Patel, Mingfang Hong, Xinfeng Zhang, Shaoxiong Wang, Brenda Rener, Angelia Reed‐Bogan, Oscar Salas‐Solano, Wendy Lau, Michel Girard, Heather Carnegie, Virginia García‐Cañas, K. C. Cheng, Mingyong Zeng, Margaret Ruesch, Ronald B. Frazier, Claudia M. Jochheim, K. Michael Jessop, Mansoor Saeed, Frank Moffatt, Seth Madren, Serigne Thiam, Kevin D. Altria

Bibliographic record

VenueChromatographia · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein purification and stability
Canadian institutionsHealth CanadaWomen's Health Research Institute
Fundersnot available
KeywordsChemistryCapillary electrophoresisImmunoglobulin light chainChain (unit)ChromatographySample (material)Heavy chainValue (mathematics)BiomoleculeBovine serum albuminBiopharmaceuticalBuffer (optical fiber)Value chainBusinessAntibodyBiochemistryStatisticsBiotechnologyMarketingComputer scienceImmunologyMathematics

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.064
metaresearch head score (Gemma)0.030
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 score0.064
Threshold uncertainty score0.339

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0640.030
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0050.003
Science and technology studies0.0070.003
Scholarly communication0.0050.003
Open science0.0040.010
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0050.002

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 head0.029
GPT teacher head0.286
Teacher spread0.257 · 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

Citations15
Published2007
Admission routes1
Has abstractno

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