MétaCan
Menu
Back to cohort
Record W3029156891 · doi:10.1016/j.jpeds.2020.05.047

Actuarial Survival Based on Gestational Age in Days at Birth for Infants Born at <26 Weeks of Gestation

2020· article· en· W3029156891 on OpenAlexafffund
Prakesh S. Shah, S. Madhava Rau, Eugene W. Yoon, Ruben Alvaro, Orlando da Silva, Hala Makary, Martine Claveau, Shoo K. Lee, Jaideep Kanungo, Joseph Ting, Zenon Cieslak, Rebecca Sherlock, Ayman Abou Mehrem, Jennifer Toye, Khalid Aziz, Carlos Fajardo, Zarin Kalapesi, Jaya Bodani, Koravangattu Sankaran, Sibasis Daspal, Mary Seshia, Deepak Louis, Amit Mukerji, Mohammad Adie, Kyong‐Soon Lee, Michael Dunn, Brigitte Lemyre, Faiza Khurshid, Ermelinda Pelausa, Keith J. Barrington, Anie Lapoint, Guillaume Éthier, Christine Drolet, Marc Beltempo, Valérie Bertelle, Édith Massé, Roderick Canning, Cecil Ojah, Luis Monterrosa, Julie Emberley, Jehier Afifi, Andrzej Kajetanowicz

Bibliographic record

VenueThe Journal of Pediatrics · 2020
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsPublic Health OntarioMcGill University Health CentreLondon Health Sciences CentreUniversity of TorontoWestern UniversityMontreal Children's HospitalDr. Everett Chalmers Regional HospitalUniversity of ManitobaMount Sinai Hospital
FundersCanadian Institutes of Health ResearchOntario Ministry of Health and Long-Term Care
KeywordsMedicineGestationGestational ageObstetricsPregnancyPediatrics

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)0.003
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 score0.006
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.068
GPT teacher head0.360
Teacher spread0.292 · 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

Citations16
Published2020
Admission routes2
Has abstractno

Explore more

Same venueThe Journal of PediatricsSame topicNeonatal Respiratory Health ResearchFrench-language works237,207