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Record W2149966611 · doi:10.1111/tmi.12331

Systematic review: Assessing the impact of drinking water and sanitation on diarrhoeal disease in low‐ and middle‐income settings: systematic review and meta‐regression

2014· review· en· W2149966611 on OpenAlexaboutno aff
Jennyfer Wolf, Annette Prüss‐Üstün, Oliver Cumming, Jamie Bartram, Sophie Bonjour, Sandy Cairncross, Thomas Clasen, John M. Colford, Valérie Curtis, Jennifer De France, Lorna Fewtrell, Matthew C. Freeman, Bruce Gordon, Paul Hunter, Aurélie Jeandron, Richard B. Johnston, Daniel Mäusezahl, Colin Mathers, María Neira, Julian P. T. Higgins

Bibliographic record

VenueTropical Medicine & International Health · 2014
Typereview
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
FundersDepartment for International DevelopmentLondon School of Hygiene and Tropical MedicineWorld Health Organization
KeywordsSanitationObservational studyMedicineEnvironmental healthPsychological interventionMeta-analysisPropensity score matchingRandomized controlled trialSystematic reviewMEDLINEInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.031
metaresearch head score (Gemma)0.096
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.031
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.096
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0290.034
Bibliometrics0.0140.014
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0030.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.041
GPT teacher head0.419
Teacher spread0.378 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations470
Published2014
Admission routes1
Has abstractyes

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