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Record W2333875338 · doi:10.1515/cclm.2011.683

Multiplex protein assay performance/evaluation and the requirement for precision and correlation to clinical assays

2011· letter· en· W2333875338 on OpenAlexafffund
Kim Phan, K.-Y. Sohn, Stephen Hill, Andrew Worster, John J. You, Mark Oremus, P.J. Devereaux, Allan S. Jaffe, Peter A. Kavsak

Bibliographic record

VenueClinical Chemistry and Laboratory Medicine (CCLM) · 2011
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Biosensing Techniques and Applications
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health ResearchMcMaster University
KeywordsMultiplexCorrelationComputational biologyChromatographyStatisticsComputer scienceMedicineBiologyChemistryMathematicsBioinformatics

Abstract

fetched live from OpenAlex

Article Multiplex protein assay performance/evaluation and the requirement for precision and correlation to clinical assays was published on November 1, 2011 in the journal Clinical Chemistry and Laboratory Medicine (CCLM) (volume 49, issue 11).

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)0.036
metaresearch head score (Gemma)0.091
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.036
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.091
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.006
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0120.013
Insufficient payload (model declined to judge)0.0010.003

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 head0.072
GPT teacher head0.392
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 designBench or experimental
Domainnot available
GenreCommentary

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
Published2011
Admission routes2
Has abstractyes

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