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Record W4280505042 · doi:10.3389/frma.2022.881250

Research Products Beyond the Research Paper: Reflections on User-Centered Evidence Synthesis From SeroTracker

2022· article· en· W4280505042 on OpenAlexafffund
Tingting Yan, Rahul K. Arora

Bibliographic record

VenueFrontiers in Research Metrics and Analytics · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsUniversity of CalgaryUniversity of Toronto
FundersCanadian Medical AssociationPublic Health Agency of CanadaWorld Health Organization
KeywordsFront (military)SociologyPolitical sciencePublic relationsMedia studiesSocial scienceGeography

Abstract

fetched live from OpenAlex

OPINION article Front. Res. Metr. Anal., 19 May 2022Sec. Scholarly Communication https://doi.org/10.3389/frma.2022.881250

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)0.800
metaresearch head score (Gemma)0.910
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.957
Threshold uncertainty score0.247

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.8000.910
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0060.007
Bibliometrics0.0150.014
Science and technology studies0.0060.035
Scholarly communication0.0430.053
Open science0.0140.029
Research integrity0.0250.042
Insufficient payload (model declined to judge)0.0260.005

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 head0.236
GPT teacher head0.471
Teacher spread0.235 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designQualitative
DomainReporting
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

Citations0
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueFrontiers in Research Metrics and AnalyticsSame topicCell Image Analysis TechniquesFrench-language works237,207