MétaCan
Menu
Back to cohort
Record W4393025259 · doi:10.1162/2e3983f5.a4d6e90b

Review 5: "Estimating the Reproduction Number and Transmission Heterogeneity from the Size Distribution of Clusters of Identical Pathogen Sequences"

2024· peer-review· en· W4393025259 on OpenAlexaff
Jessica E. Stockdale, Shabnam Molan

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsTransmission (telecommunications)ReproductionBiologyDistribution (mathematics)Evolutionary biologyPathogenStatisticsMathematicsEcologyGeneticsComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

Reviewers find the proposed method to be novel and validated with synthetic and historical epidemic data. However, they expressed concerns about the uncertainty in quantifying the magnitude of the estimation bias and the validity of this method in the case of an outbreak.

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)0.037
metaresearch head score (Gemma)0.226
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: Commentary · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.226
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0090.006
Science and technology studies0.0020.003
Scholarly communication0.0050.004
Open science0.0050.003
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0170.014

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 head0.034
GPT teacher head0.350
Teacher spread0.315 · 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
GenreCommentary

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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicMicrobial infections and disease researchFrench-language works237,207