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Record W4313252357 · doi:10.1016/j.xkme.2022.100596

Polycystic Kidney Disease Drug Development: A Conference Report

2022· article· en· W4313252357 on OpenAlex
Max C. Liebau, Djalila Mekahli, Ronald D. Perrone, Belle Soyfer, Sorin Fedeles

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueKidney Medicine · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Kidney Cyst Diseases
Canadian institutionsnot available
FundersU.S. Food and Drug AdministrationPKD AustraliaEuropean Medicines AgencyUniversitätsklinikum KölnOtsuka PharmaceuticalGovernment of South AustraliaHeinrich Hertz StiftungEuropean Paediatric Neurology SocietyUniversity of ColoradoUniversity of KansasUniversity of ChicagoTufts Medical CenterManitoba Beekeepers' AssociationChildren's Hospital of PhiladelphiaAmerican Society of NephrologyUniversity of TorontoCase Western Reserve UniversityU.S. Department of Health and Human ServicesYale UniversityPKD FoundationTufts University School of MedicineUniversitair Ziekenhuis GentMayo Clinic
KeywordsAutosomal dominant polycystic kidney diseaseTolvaptanPolycystic kidney diseaseMedicinePKD1Drug developmentDiseaseIntensive care medicineKidney diseaseInternal medicineLenvatinibBioinformaticsDrugPharmacologyBiologyHeart failureCancer

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.251
Teacher spread0.239 · 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