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Record W6944145591 · doi:10.17605/osf.io/dyn6w

INSEGURANÇA ALIMENTAR E NUTRICIONAL ENTRE ADULTOS COM DOENÇA FALCIFORME: UM PROTOCOLO DE REVISÃO DE ESCOPO

2023· other· en· W6944145591 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2023
Typeother
Languageen
FieldHealth Professions
TopicIndigenous Health and Education
Canadian institutionsnot available
Fundersnot available
KeywordsCINAHLMEDLINEScopusInclusion (mineral)Cochrane LibrarySubject (documents)Web of scienceCritical appraisalScope (computer science)

Abstract

fetched live from OpenAlex

Scoping Review to investigative the causes and manifestations of food and nutrition insecurity in adults with sickle cell disease. Method: scoping review of the developed following the recommendations proposed by the JBI manual. The search sources will be: SCIELO, LILACS (BVS), MEDLINE via PubMed, COCHRANE LIBRARY (Wiley), CINAHL (Ebsco), SCOPUS (Elsevier), Web of Science Core Collection (Clarivate Analytics), EMBASE (Elsevier), theses and dissertations will be analyzed in the databases of Google Scholar and Periodical Portal of the Coordination for the Improvement of Higher Education Personnel (CAPES, DART-E theses Europe; OATD - Open Access Theses and Dissertations, Canadian Theses and Dissertations Portal, Database of African Theses and Dissertations and Research (DATAD-R). Publications will be selected by two independent reviewers and disagreements will be analyzed by a third reviewer. For analysis of references (remove duplications, organization, inclusion and exclusion according to the adopted inclusion criteria) we will use EndNote Web 20 (Clarivate Analytics, PA, USA) and Rayyan Data will be extracted with the help of an instrument developed by the reviewers and the results will be presented through charts, flowcharts and narrative synthesis. This review will follow the recommendations proposed by the JBI methodology for the same and will use the Preferred Reporting Items for Scope Reviews (PRISMA-ScR) extension as a reporting guideline. A preliminary review was carried out in March 2023 using the terms Medical Subject Headings (MeSH): “nutrition” and “sickle cell disease” in the databases of PUBMED and CINAHL and PROSPERO, Pubmed and OSF for knowledge of the subject and identification of studies of scoping review with the same phenomenon, but no protocol with the present theme was found

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 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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.6620.810

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 head0.028
GPT teacher head0.376
Teacher spread0.348 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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