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Record W6887799669 · doi:10.17605/osf.io/yfs3p

Effectiveness of aromatherapy on physiological and psychological complaints during pregnancy: a systematic review protocol

2020· article· en· W6887799669 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2020
Typearticle
Languageen
FieldNeuroscience
TopicOlfactory and Sensory Function Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAromatherapyContext (archaeology)Data extractionProtocol (science)Alternative medicineInclusion (mineral)Randomized controlled trialMEDLINE

Abstract

fetched live from OpenAlex

Objective: The objective of this review is to synthesize the available evidence to investigate the effectiveness of aromatherapy in the treatment of physiological and psycological complaints during pregnancy. Introduction: During pregnancy, women report common complaints that result from anatomical and physiological changes important for the development and protection of the maternal-fetal binomial. Aromatherapy is an complementary and integrative practice of ancient origin that works by administering essential oils to promote physical and psychological well-being. Inclusion criteria: This review will include studies of pregnant women with low risk of complications in the context prior to labor, who received aromatherapy as a treatment for their physiological and psychological complaints, common in pregnancy. Randomized clinical trials, quasi-experimental studies, cohorts and case-control will be included. Methods: Databases to be searched will include: PubMed, Scopus, CINAHL, Web of Science, CENTRAL, PsycINFO, LILACS, BDENF, CUIDEN and MOSAICO in Portuguese, English and Spanish, with no time limit. Unpublished literature will be searched in: ProQuest, Brazilian Digital Library of Theses and Dissertations, British Library EThOS and Canadian Theses and Dissertation Portal. The JBI approach will be used for study selection, critical appraisal, data extraction and data synthesis.

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)0.001
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0240.075

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 head0.134
GPT teacher head0.337
Teacher spread0.203 · 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 designBench or experimental
Domainnot available
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
Published2020
Admission routes1
Has abstractyes

Explore more

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