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Record W2088112231 · doi:10.4155/bio.12.172

Recommendations on Isr in Multi Analyte Assays, Qa/Bioanalytical Consultants And Gcp By Global Cro Council For Bioanalysis (Gcc)

2012· article· en· W2088112231 on OpenAlexaff
Timothy Sangster, John Maltas, Petra Struwe, Jim Hillier, Mark Boterman, Mira Doig, Massimo Breda, Fabio Garofolo, Maria Cruz Caturla, Philippe Couerbe, Christine Schiebl, Colin Pattison, Lee Goodwin, Rudi Segers, Wei Garofolo, Lois Folguera, Dieter Zimmer, Thomas Zimmerman, Maria Pawula, Daniel Tang, Chris D. Cox, Chiara Bigogno, Dick Schoutsen, Theo de Boer, Rachel Green, Richard Houghton, Romuald Sable, Christoff Siethoff, Tammy Harter, Stuart Best

Bibliographic record

VenueBioanalysis · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsBioanalysisAnalyteChromatographyChemistryMedical physicsNanotechnologyMedicineMaterials science

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)0.068
metaresearch head score (Gemma)0.113
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.932
Threshold uncertainty score0.362

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0680.113
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0050.004
Science and technology studies0.0030.004
Scholarly communication0.0060.005
Open science0.0090.003
Research integrity0.0180.012
Insufficient payload (model declined to judge)0.0290.025

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 head0.148
GPT teacher head0.354
Teacher spread0.206 · 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.

Study designTheoretical or conceptual
DomainMethods
GenreMethods

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

Citations24
Published2012
Admission routes1
Has abstractno

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