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Record W34058408 · doi:10.1016/j.cgh.2021.05.052

L'´elargissement aleatoire progressif

2007· article· en· W34058408 on OpenAlexfundno aff
Tristan Cazenave

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicConstraint Satisfaction and Optimization
Canadian institutionsnot available
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesAllerganNational Institutes of HealthValeant Pharmaceuticals International
KeywordsMathematicsHeuristicAlgorithmValue (mathematics)CombinatoricsDiscrete mathematicsMathematical optimizationStatistics

Abstract

fetched live from OpenAlex

Lifestyle change is the cornerstone of nonalcoholic fatty liver disease management. Sugar-sweetened beverages (SSBs) are a promising target. First, SSBs are associated with nonalcoholic fatty liver disease, and interventions to reduce SSB consumption reduce the burden of liver fat.<sup>1</sup> Second, formal guidance uniformly recommend against SSBs.<sup>2</sup> Herein, we analyze the 2017-2018 wave of the National Health and Nutrition Examination Survey (NHANES), examining a nationally representative sample of persons without comorbidities or known liver disease to examine the associations between SSB consumption and both liver fibrosis and liver fat using vibration-controlled transient elastography.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.787
Threshold uncertainty score0.236

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.007
GPT teacher head0.245
Teacher spread0.238 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
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

Citations0
Published2007
Admission routes1
Has abstractyes

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