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Record W2007896192 · doi:10.2337/db13-1154

Genetic Dissection of Diabetes: Facing the Giant

2013· letter· en· W2007896192 on OpenAlexaff
David Meyre, Guillaume Paré

Bibliographic record

VenueDiabetes · 2013
Typeletter
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCystic fibrosisMedicineMeconium IleusSweat testCystic fibrosis-related diabetesDiabetes mellitusInternal medicineType 2 diabetesPancreatitisPulmonary function testingGastroenterologyCystic fibrosis transmembrane conductance regulatorPancreatic diseaseTransplantationImpaired glucose toleranceEndocrinologyPancreasPregnancyMeconiumBiology

Abstract

fetched live from OpenAlex

Cystic fibrosis (CF) is the most common inheriteddisorder of childhood and is caused by auto-somal recessive mutations in the CF trans-membrane conductance regulator (CFTR) gene (1). CF is most common among Caucasian individuals, with a prevalence of 1 in 2,500 newborns (2). CF can be diagnosed before birth by genetic testing or by a sweat test in early childhood (3,4). Complications of CF include bowel obstruction due to meconium ileus in newborns, poor growth, sinus infections, biliary disorders, infertility, chronic pulmonary infections, and lung disease that requires lung transplantation as CF worsens (2). Exocrine pancreatic insufficiency is observed in 90 % of CF patients. Abnormal chloride channel function results in thick vis-cous secretions that obstruct pancreatic ducts and lead to the retention of digestive enzymes and to pancreas tissue destruction and fibrosis (5). CF-related diabetes (CFRD) is highly prevalent among CF patients and is thought to result

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)0.001
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0130.014
Insufficient payload (model declined to judge)0.0020.002

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 head0.013
GPT teacher head0.261
Teacher spread0.248 · 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 designNot applicable
Domainnot available
GenreEditorial

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
Published2013
Admission routes1
Has abstractyes

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