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Record W2935101777 · doi:10.1016/s2352-4642(19)30056-2

Obesity class versus the Edmonton Obesity Staging System for Pediatrics to define health risk in childhood obesity: results from the CANPWR cross-sectional study

2019· article· en· W2935101777 on OpenAlexafffundabout
Stasia Hadjiyannakis, Quazi Ibrahim, Jenifer Li, Geoff D.C. Ball, Annick Buchholz, Jill Hamilton, Ian Zenlea, Josephine Ho, Laurent Legault, Anne‐Marie Laberge, Lehana Thabane, Mark S. Tremblay, Katherine M. Morrison

Bibliographic record

VenueThe Lancet Child & Adolescent Health · 2019
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsCredit Valley HospitalHospital for Sick ChildrenPopulation Health Research InstituteUniversity of AlbertaCentre Hospitalier Universitaire Sainte-JustineMcMaster UniversityImpactMcGill UniversityUniversity of CalgaryChildren's Hospital of Eastern Ontario
FundersUniversity of AlbertaCanadian Institutes of Health ResearchWomen and Children's Health Research InstituteOntario Ministry of Health and Long-Term CareMcMaster University
KeywordsMedicineObesityBody mass indexChildhood obesityStage (stratigraphy)Medical recordPopulationPediatricsCross-sectional studySocial classGerontologyOverweightInternal medicineEnvironmental healthPathology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
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 head0.033
GPT teacher head0.318
Teacher spread0.285 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations50
Published2019
Admission routes3
Has abstractno

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Same venueThe Lancet Child & Adolescent HealthSame topicObesity, Physical Activity, DietFrench-language works237,207