MétaCan
Menu
Back to cohort
Record W3041884831 · doi:10.1016/j.chom.2020.06.009

Breastmilk Feeding Practices Are Associated with the Co-Occurrence of Bacteria in Mothers’ Milk and the Infant Gut: the CHILD Cohort Study

2020· article· en· W3041884831 on OpenAlexafffund
Kelsey Fehr, Shirin Moossavi, Hind Sbihi, Rozlyn C. T. Boutin, Lars Bode, Bianca Robertson, Chloe Yonemitsu, Catherine J. Field, Allan B. Becker, Piush J. Mandhane, Malcolm R. Sears, Ehsan Khafipour, Theo J. Moraes, Padmaja Subbarao, B. Brett Finlay, Stuart E. Turvey, Meghan B. Azad

Bibliographic record

VenueCell Host & Microbe · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsMcMaster UniversityUniversity of AlbertaCanada's Michael Smith Genome Sciences CentreHospital for Sick ChildrenUniversity of British ColumbiaUniversity of TorontoSickKids FoundationBC Children's HospitalUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
FundersCanadian Institutes of Health ResearchCanadian Lung AssociationResearch ManitobaGenome CanadaHeart and Stroke Foundation of Canada
KeywordsBreastfeedingBiologyGut floraBacteriaFormula feedingVeillonellaMicrobiomeStreptococcusBreast feedingGut bacteriaDisparCohortMicrobiologyImmunologyPediatricsMedicineInternal medicineBioinformaticsGenetics

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)0.001
metaresearch head score (Gemma)0.002
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 score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.010
GPT teacher head0.246
Teacher spread0.236 · 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

Citations308
Published2020
Admission routes2
Has abstractno

Explore more

Same venueCell Host & MicrobeSame topicGut microbiota and healthFrench-language works237,207