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Record W4235998499 · doi:10.4172/jbb

Journal of Bioequivalence & Bioavailability

2018· paratext· fr· W4235998499 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Bioequivalence & Bioavailability · 2018
Typeparatext
Languagefr
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsUniversité de Montréal
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsBioequivalenceBioavailabilityPharmacologyComputational biologyMedicineComputer scienceBiology

Abstract

fetched live from OpenAlex

The bioequivalence (BE) assessment of generic (Test) and brand name (Reference) formulations of drugs with steep exposure-response relationships exhibiting high pharmacokinetic (PK) variability such as dabigatran represent an expensive challenge for pharmaceutical companies. Supported by the population pharmacokinetics (pop-PK) approach, the present article investigates modelling potential to assess BE using a reduced number of blood samples.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.009
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0020.003
Science and technology studies0.0010.016
Scholarly communication0.0000.001
Open science0.0040.001
Research integrity0.0190.022
Insufficient payload (model declined to judge)0.0270.008

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 head0.035
GPT teacher head0.325
Teacher spread0.289 · 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