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Record W4386536236 · doi:10.1371/journal.pone.0291145

Examining the meaning and methodological characteristics of the systematized review label: A scoping review protocol

2023· review· en· W4386536236 on OpenAlexaff
Zahra Premji, Leyla Cabugos

Bibliographic record

VenuePLoS ONE · 2023
Typereview
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsData extractionData scienceComputer scienceProtocol (science)Systematic reviewProcess (computing)Management scienceScopusCategorizationResource (disambiguation)MEDLINEInformation retrievalMedicineArtificial intelligenceAlternative medicinePolitical scienceEngineering

Abstract

fetched live from OpenAlex

INTRODUCTION: A large portion of published evidence syntheses (ES) do not conform to established standards. There is a growing number of reviews labeled as a "systematized review", but authors do not always identify specific methodological adaptations or specify the biases these may introduce. OBJECTIVE: The objective of this scoping review is to identify which methodological attributes common to evidence syntheses (ES) are implemented or referenced in published systematized reviews. It also aims to 1) identify and collate, where available, the reasons authors characterize their study as a systematized review 2) determine whether any justifications provided were based on resource constraints or research goals, and 3) describe common characteristics of systematized reviews. INCLUSION CRITERIA: All articles that are titled as a systematized review, attempt a collocation and synthesis of existing literature, and include some methodology for their review process, will be included. MATERIALS AND METHODS: A title search will be conducted for the terms "systematized" or "systematised" in proximity to the term "review" in a selection of scholarly sources that offer broad coverage of literature in many disciplines: Google Scholar, Lens, Web of Science Core Collection (Web of Science platform), Scopus (Elsevier platform), MEDLINE (Ovid platform). Screening and data extraction will be done in duplicate. Screening will be conducted in Covidence. Data extraction will be done in Google sheets. Data extraction elements will include common methodological characteristics relating to various steps of the evidence synthesis process. Descriptive, aggregate statistics, and categorization of reasons for selecting the systematized review type are the primary planned analysis for this review. DATA AVAILABILITY: This is a registered report protocol. The data collected in this research project will be made available in the Borealis repository (https://borealisdata.ca/) upon finalization of the study.

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)0.398
metaresearch head score (Gemma)0.469
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.602
Threshold uncertainty score0.743

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3980.469
Meta-epidemiology (narrow)0.0040.006
Meta-epidemiology (broad)0.0080.008
Bibliometrics0.0200.017
Science and technology studies0.0070.012
Scholarly communication0.0130.014
Open science0.0060.009
Research integrity0.0180.012
Insufficient payload (model declined to judge)0.0440.023

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 head0.964
GPT teacher head0.624
Teacher spread0.340 · 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 designSystematic review
DomainMethods
GenreProtocol

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

Citations1
Published2023
Admission routes1
Has abstractyes

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