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Record W3030134420 · doi:10.1002/cl2.1087

PROTOCOL: When and how to replicate systematic reviews

2020· article· en· W3030134420 on OpenAlex
Sathya Karunananthan, Lara Maxwell, Vivian Welch, Jennifer Petkovic, Jordi Pardo Pardo, Tamara Rader, Marc T. Avey, John Baptiste-Ngobi, Ricardo Batista, Janet Curran, Elizabeth Tanjong Ghogomu, Ian D. Graham, Jeremy Grimshaw, John P. A. Ioannidis, Zoe Jordan, Janet Jull, Anne Lyddiatt, David Moher, Mark Petticrew, Kevin Pottie, Gabriel Rada, Larissa Shamseer, Beverley Shea, Konstantinos C. Siontis, Naomi Tschirhart, Brigitte Vachon, George A. Wells, Howard White, Peter Tugwell

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCampbell Systematic Reviews · 2020
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsUniversité de MontréalQueen's UniversityOttawa Public HealthCapital District Health AuthorityPublic Health Agency of CanadaBruyèreCochraneIzaak Walton Killam Health CentreOttawa HospitalCanadian Agency for Drugs and Technologies in HealthUniversity of Ottawa
Fundersnot available
KeywordsReplicateProtocol (science)Systematic reviewSystematic errorComputer sciencePsychologyMEDLINEMedicineBiologyAlternative medicineStatisticsPathologyMathematics

Abstract

fetched live from OpenAlex

This is a protocol for a co-registered Cochrane and Campbell Review (Methodology). The objectives are as follows: To identify, describe and assess methods for: when to replicate a systematic review; how to replicate a systematic review.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.302
metaresearch head score (Gemma)0.415
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.588
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.3020.415
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0310.005
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0030.001
Open science0.0050.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.049

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 head0.819
GPT teacher head0.524
Teacher spread0.295 · 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