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Record W3014028877 · doi:10.1016/s2213-2600(20)30052-7

Decreasing antibiotic use, the gut microbiota, and asthma incidence in children: evidence from population-based and prospective cohort studies

2020· article· en· W3014028877 on OpenAlexafffund
David M. Patrick, Hind Sbihi, Darlene Dai, Abdullah Mamun, Drona Rasali, Caren Rose, Fawziah Marra, Rozlyn C. T. Boutin, Charisse Petersen, Leah T. Stiemsma, Geoffrey L. Winsor, Fiona S. L. Brinkman, Anita L. Kozyrskyj, Meghan B. Azad, Allan B. Becker, Piush J. Mandhane, Malcolm R. Sears, Padmaja Subbarao, B. Brett Finlay, Stuart E. Turvey

Bibliographic record

VenueThe Lancet Respiratory Medicine · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsMcMaster UniversityUniversity of AlbertaUniversity of ManitobaSimon Fraser UniversityCanada's Michael Smith Genome Sciences CentreBC Children's HospitalHospital for Sick ChildrenBC Centre for Disease ControlUniversity of British Columbia
FundersGenome CanadaMinistry of Health, British ColumbiaCanadian Institutes of Health ResearchEnvironment CanadaHealth CanadaSimon Fraser University
KeywordsMedicineAsthmaIncidence (geometry)PopulationProspective cohort studyCohortPediatricsCohort studyAntibioticsInternal medicineEnvironmental healthBiology

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 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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.052
GPT teacher head0.324
Teacher spread0.271 · 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 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

Citations248
Published2020
Admission routes2
Has abstractno

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