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Record W2469487068 · doi:10.1016/j.jams.2016.05.001

Yoga for Health Care in Korea: A Protocol for Systematic Review of Clinical Trials

2016· article· en· W2469487068 on OpenAlexaboutno aff
Jiae Choi, Ji Hee Jun, Ju Ah Lee, Myeong Soo Lee

Bibliographic record

VenueJournal of Acupuncture and Meridian Studies · 2016
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
FundersKorea Institute of Oriental Medicine
KeywordsMedicineProtocol (science)Systematic reviewAlternative medicineMeridian (astronomy)Physical therapyClinical trialRandomized controlled trialMEDLINEHealth careMeta-analysisFamily medicineSurgeryInternal medicinePathology

Abstract

fetched live from OpenAlex

This systematic review aims to evaluate the therapeutic effects of yoga therapy using an evidence-based approach and investigates the relationship between yoga and the meridian energies based on all available clinical studies in Korea. Sixteen electronic databases will be searched from the inception of the study until January 2016. All clinical evidences that evaluate any type of yoga and any type of control in individuals with any type of condition will be eligible. The methodological quality will be assessed using the Cochrane risk of bias tool for randomized clinical trials and the Newcastle-Ottawa scale for nonrandomized studies. Two authors will independently assess each study for eligibility and the risk of bias, and then they will extract the data. With its extensive, unbiased search of the Korean literature from various databases without any language restrictions, this systematic review will be useful for both practitioners in the field of yoga research as well as for patients.

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.414
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
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)0.0000.000

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 head0.296
GPT teacher head0.608
Teacher spread0.312 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
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

Citations0
Published2016
Admission routes1
Has abstractyes

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