MétaCan
Menu
Back to cohort
Record W4214914236 · doi:10.3389/fgwh.2022.861315

Editorial: COVID-19 and Women's Health

2022· editorial· en· W4214914236 on OpenAlexaff
Laura A. Magee, Vassiliki Benetou, Rhiannon George‐Carey, Jayashri Kulkarni, Nathalie MacDermott, Stacey A. Missmer, Chelsea Morroni, Marianne Vidler, Stephen Kennedy

Bibliographic record

VenueFrontiers in Global Women s Health · 2022
Typeeditorial
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsUniversity of British Columbia
FundersNational Institute for Health and Care Research
KeywordsCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicVirologyBetacoronavirusCoronavirus InfectionsMedicineInternal medicineOutbreakInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

EDITORIAL article Front. Glob. Womens Health, 03 March 2022 | https://doi.org/10.3389/fgwh.2022.861315

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)0.008
metaresearch head score (Gemma)0.031
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.058
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.031
Meta-epidemiology (narrow)0.0060.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0040.002
Science and technology studies0.0050.002
Scholarly communication0.0100.005
Open science0.0040.002
Research integrity0.0160.018
Insufficient payload (model declined to judge)0.0580.040

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 head0.012
GPT teacher head0.352
Teacher spread0.341 · 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
GenreEditorial

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

Citations2
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueFrontiers in Global Women s HealthSame topicCOVID-19 Impact on ReproductionFrench-language works237,207