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Polycystin-1: a key player in hereditary cystic kidney and liver disorders

2011· letter· en· W2100703720 on OpenAlexaff
Niels H. Skotte

Bibliographic record

VenueClinical Genetics · 2011
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Kidney Cyst Diseases
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPolycystic kidney diseaseEndoplasmic reticulumPolycystic kidneyKidneyLiver diseasePolycystic liver diseaseCystKidney disorderBiologyCystic fibrosisGeneticsEndocrinologyMedicineInternal medicineBioinformaticsPathology

Abstract

fetched live from OpenAlex

References 1. Drenth, JP, Martina, JA, van de Kerkhof, R, Bonifacino, JS, Jansen, JB. Polycystic liver disease is a disorder of cotranslational protein processing. Trends Mol Med 2005: 11: 37– 42. 2. Vembar, SS, Brodsky, JL. One step at a time: endoplasmic reticulum-associated degradation. Nat Rev Mol Cell Biol 2008: 9: 944– 957. 3. Harris, PC, Torres, VE. Polycystic kidney disease. Annu. Rev. Med 2009: 60: 321– 337. A genetic interaction network of five genes for human polycystic kidney and liver diseases defines polycystin-1 as the central determinant of cyst formation. Fedeles et al. (2011) Nature Genetics 43(7):639–647.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.611
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.281
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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2011
Admission routes1
Has abstractyes

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