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Record W3015137485 · doi:10.1002/ijgo.13156

Global interim guidance on coronavirus disease 2019 (COVID‐19) during pregnancy and puerperium from FIGO and allied partners: Information for healthcare professionals

2020· letter· en· W3015137485 on OpenAlexaff
Liona C. Poon, Huixia Yang, Anil Kapur, Nir Melamed, Blami Dao, Hema Divakar, David McIntyre, Anne‐Beatrice Kihara, Diogo Ayres‐de‐Campos, E. Ferrazzi, Gian Carlo Di Renzo, Moshe Hod

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2020
Typeletter
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
FundersPan American Health OrganizationInstitute on the Environment, University of MinnesotaInternational Society of Ultrasound in Obstetrics and GynecologyPublic Health EnglandIndian Council of Medical ResearchNational Health Commission of the People's Republic of ChinaEuropean Centre for Disease Prevention and Control
KeywordsMedicineInterimCoronavirus disease 2019 (COVID-19)PregnancyHealth care2019-20 coronavirus outbreakCoronavirusHealth professionalsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)DiseasePandemicIntensive care medicineObstetricsFamily medicineVirologyInfectious disease (medical specialty)Internal medicineOutbreak

Abstract

fetched live from OpenAlex

In response to the World Health Organization (WHO) statements and international concerns regarding the coronavirus disease 2019 (COVID‐19) outbreak, FIGO has issued comprehensive guidance for the management of pregnant women.

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)0.005
metaresearch head score (Gemma)0.022
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: Other · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0390.016
Insufficient payload (model declined to judge)0.0160.014

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 head0.073
GPT teacher head0.419
Teacher spread0.346 · 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
GenreOther

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

Citations314
Published2020
Admission routes1
Has abstractyes

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Same venueInternational Journal of Gynecology & ObstetricsSame topicCOVID-19 Impact on ReproductionFrench-language works237,207