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Record W4391909660 · doi:10.2196/57203

Correction: Comparison of Four Active SARS-CoV-2 Surveillance Strategies in Representative Population Sample Points: Two-Factor Factorial Randomized Controlled Trial

2024· erratum· en· W4391909660 on OpenAlexvenueno aff
Andreas Deckert, Simon Anders, Ivonne Morales, Manuela De Allegri, Hoa Thi Nguyen, Aurélia Souares, Shannon A. McMahon, Matthias Meurer, Robin Burk, Dan Lou, Lucia Brugnara, Matthias Sand, Lisa Koeppel, Lena Maier‐Hein, Tobias Roß, Tim Adler, Stephan Brenner, Christopher Dyer, Konrad Herbst, Svetlana Ovchinnikova, Michael Marx, Paul Schnitzler, Michael Knop, Till Bärnighausen, Claudia M. Denkinger

Bibliographic record

VenueJMIR Public Health and Surveillance · 2024
Typeerratum
Languageen
FieldMedicine
TopicSARS-CoV-2 detection and testing
Canadian institutionsnot available
Fundersnot available
KeywordsSample (material)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Randomized controlled trialPopulationCoronavirus disease 2019 (COVID-19)MedicineStatisticsEnvironmental healthMathematicsSurgeryPathologyDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

[This corrects the article DOI: 10.2196/44204.].

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)0.022
metaresearch head score (Gemma)0.223
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.058
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.223
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0030.003
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0040.001
Research integrity0.0080.011
Insufficient payload (model declined to judge)0.0580.010

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 head0.084
GPT teacher head0.408
Teacher spread0.324 · 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 designRandomized trial
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

Citations0
Published2024
Admission routes1
Has abstractyes

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