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Record W2620238560 · doi:10.1126/scitranslmed.aai9055

A trust approach for sharing research reagents

2017· review· en· W2620238560 on OpenAlexafffund
A.M. Edwards, Max Morgan, Arij Al Chawaf, Kerry Andrusiak, Rachel L. Charney, Zarya Cynader, Ahmed ElDessouki, Yunjeong Lee, Andrew Moeser, Simon Stern, William J. Zuercher

Bibliographic record

VenueScience Translational Medicine · 2017
Typereview
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsOccupational Cancer Research CentreMaple Leaf Medical ClinicStructural Genomics ConsortiumUniversity of Toronto
FundersEshelman Institute for Innovation, University of North Carolina at Chapel HillNovartis PharmaAbbVieEuropean Federation of Pharmaceutical Industries and AssociationsUniversity of TorontoOntario Ministry of Research, Innovation and ScienceWellcome TrustEuropean CommissionBoehringer IngelheimBill and Melinda Gates FoundationPfizerFundação de Amparo à Pesquisa do Estado de São PauloGenome Canada
KeywordsFeature (linguistics)Core (optical fiber)Property (philosophy)BusinessPublic goodPublic trustInternet privacyComputer sciencePublic relationsLaw and economicsPolitical scienceEconomicsMicroeconomicsTelecommunications

Abstract

fetched live from OpenAlex

The core feature of trusts-holding property for the benefit of others-is well suited to constructing a research community that treats reagents as public goods.

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)0.043
metaresearch head score (Gemma)0.074
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Open science
Consensus categoriesnone
DomainCandidate signal: Reproducibility · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.228

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.074
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.006
Science and technology studies0.0030.011
Scholarly communication0.0090.021
Open science0.0050.010
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0130.004

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 head0.790
GPT teacher head0.613
Teacher spread0.177 · 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 designNot applicable
DomainReproducibility
GenreReview

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

Citations15
Published2017
Admission routes2
Has abstractyes

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