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Record W3208253412

The international Perinatal Outcomes in the Pandemic (iPOP) study: protocol [version 1; peer review: 2 approved]

2021· preprint· en· W3208253412 on OpenAlexaff
Sarah J. Stock, Helga Zoëga, Meredith Brockway, Rachel Mulholland, Jessica E. Miller, Jasper V. Been, Rachael Wood, Ishaya I. Abok, Belal Alshaikh, Adejumoke Idowu Ayede, Fabiana Bacchini, Zulfiqar A Bhutta, Bruce J. Brew, Jeff Brook, Clara Calvert, Marsha Campbell‐Yeo, Damien Chan, James Chirombo, Kristin L. Connor, Maura Daly, K Einarsdóttir, Ilaria Fantasia, Meredith Franklin, Abigail Fraser, SE Håberg, Hui Lü, Luis Huicho, Maria C. Magnus, Andrew R. Morris, Livia Nagy-Bonnard, Natasha Nassar, Sylvester Dodzi Nyadanu, Iyabode Olabisi D, Kirsten R. Palmer, Lars Henning Pedersen, Gavin Pereira, Amy Racine-Poon, Ranger M, Tonia Rihs, Christoph Saner, Sheikh A, Emma Swift, Lloyd Tooke, Marcelo L. Urquía, Clare Whitehead, Christopher Sabo Yilgwan, N Rodriguez, David Burgner, iPOP Study Team

Bibliographic record

VenueWellcome Open Research · 2021
Typepreprint
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsUniversity of British ColumbiaUniversity of TorontoDalhousie UniversityCarleton UniversityUniversity of CalgaryUniversity of Manitoba
Fundersnot available
KeywordsProtocol (science)PandemicMedicineCoronavirus disease 2019 (COVID-19)DiseaseAlternative medicine
DOInot available

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)0.028
metaresearch head score (Gemma)0.061
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.165
Threshold uncertainty score0.551

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.061
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.003
Science and technology studies0.0030.002
Scholarly communication0.0040.002
Open science0.0030.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1650.034

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 head0.291
GPT teacher head0.550
Teacher spread0.259 · 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 designNot applicable
Domainnot available
GenreProtocol

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

Citations1
Published2021
Admission routes1
Has abstractno

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