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Record W2937933364 · doi:10.1164/rccm.201903-0687ed

Loss of Microbial Topography Precedes Infection in Infants

2019· letter· en· W2937933364 on OpenAlexaff
Michael G. Surette, Dawn M. E. Bowdish

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2019
Typeletter
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineMagnetic resonance imagingIntensive care medicineOutcome (game theory)OxygenationInternal medicineRadiology

Abstract

fetched live from OpenAlex

In their analysis, Jensen and colleagues point out that respiratory support variables alone are as good (or better) than oxygen variables.Keller and colleagues' report indicates that antenatal variables are also comparable (7).Conceptually, we like the physiologic approach of Svedenkrans and colleagues ( 13).An optimal research definition might include measurements of oxygenation, CO 2 elimination, and magnetic resonance imaging for the structural abnormalities that contribute to gas exchange abnormalities.For epidemiologic purposes, the definition does not seem to make much difference if it is consistently applied.For therapeutic studies, perhaps the outcome should be linked to the target of the therapy, such as parenchymal inflammation, airway injury, or pulmonary hypertension.

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.

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)0.008
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: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.030
GPT teacher head0.378
Teacher spread0.348 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Respiratory and Critical Care Medicine→Same topicNeonatal Respiratory Health Research→French-language works237,207→