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Record W3121297936 · doi:10.1503/cmaj.202833

Pregnancy, breastfeeding and the SARS-CoV-2 vaccine: an ethics-based framework for shared decision-making

2021· article· en· W3121297936 on OpenAlexaffvenueabout
Jonathan S. Zipursky, Rebecca Greenberg, Cynthia Maxwell, Tali Bogler

Bibliographic record

VenueCanadian Medical Association Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsSinai Health SystemHealth Sciences CentreUniversity of TorontoSunnybrook Health Science CentreSt. Michael's Hospital
Fundersnot available
KeywordsBreastfeedingMedicinePregnancySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)ImmunizationCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakFamily medicineBreast feedingPediatricsVirologyImmunologyInfectious disease (medical specialty)DiseaseBiologyPathology

Abstract

fetched live from OpenAlex

KEY POINTS In December 2020, the Canadian National Advisory Committee on Immunization recommended that the vaccine against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) should not be routinely offered to individuals who are pregnant or breastfeeding until further evidence is available

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)0.198
metaresearch head score (Gemma)0.206
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.198
Threshold uncertainty score0.989

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1980.206
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0150.063
Scholarly communication0.0260.016
Open science0.0070.022
Research integrity0.0320.035
Insufficient payload (model declined to judge)0.0060.001

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 head0.035
GPT teacher head0.373
Teacher spread0.339 · 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.

Study designTheoretical or conceptual
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

Citations26
Published2021
Admission routes3
Has abstractyes

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Same venueCanadian Medical Association JournalSame topicCOVID-19 Impact on ReproductionFrench-language works237,207