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Record W32923336 · doi:10.5334/gh.827

RANDOM COEFFICIENT DIFFERENTIAL MODELS OF GROWTH OF ANAEROBIC PHOTOSYNTHETIC BACTERIA

2008· article· en· W32923336 on OpenAlex
Dan Stánescu, Benito M. Chen‐Charpentier, Brandi J. Jensen, Patricia J.S. Colberg

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.

Bibliographic record

VenueETNA - Electronic Transactions on Numerical Analysis · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicPlant Water Relations and Carbon Dynamics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsRandomnessMathematicsApplied mathematicsPolynomial chaosPolynomialStatistical physicsMonte Carlo methodStatisticsMathematical analysisPhysics

Abstract

fetched live from OpenAlex

Cardiovascular disease (CVD) is increasingly becoming a major chronic disease burden in sub-Saharan Africa. The aim of this review was to provide an up-to-date overview on prevalence of CVD risk factors in the Gambia. The findings from seven included studies revealed that most CVD risk factors are very prevalent in the Gambia, with some specific groups in the population such as urban dwellers being more at risk. Obesity prevalence ranged from 2.3% to 11.7%, with rate being particularly high in urban women aged ≥35 years. Diabetes prevalence was 0.3%. Hypertension prevalence ranged from 18.3% to 29%. Prevalence of hypercholesterolemia ranged from 2.2% to 29.1%. Prevalence of smoking ranged from 16% to 42.2% in men. Prevalence of insufficient fruit and vegetable consumption, inadequate physical activity, and alcohol consumption was 77.8%, 14.6%, and 2.3%, respectively. These findings suggest urgent need for preventive measures and further research to prevent CVD in the Gambia.

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)0.000
metaresearch head score (Gemma)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.005
GPT teacher head0.183
Teacher spread0.177 · 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