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Record W2334821509

Method guidelines for Cochrane Musculoskeletal Group systematic reviews.

2006· article· en· W2334821509 on OpenAlexaff
Lara Maxwell, Nancy Santesso, Peter Tugwell, George A. Wells, Maria Judd, Rachelle Buchbinder

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsCochraneCanadian Foundation for Healthcare ImprovementUniversity of Ottawa
Fundersnot available
KeywordsMedicineSystematic reviewPhysical therapyMEDLINEAlternative medicineSpondyloarthropathyFamily medicineRheumatoid arthritisInternal medicinePathology
DOInot available

Abstract

fetched live from OpenAlex

The Cochrane Musculoskeletal Group (CMSG), one of 50 groups of the not-for-profit international Cochrane Collaboration, prepares, maintains, and disseminates systematic reviews of treatments for musculoskeletal diseases. To enhance the quality and usability of systematic reviews, the CMSG has developed tailored methodological guidelines for authors of CMSG systematic reviews. Recommendations specific to musculoskeletal disorders are provided for various aspects of undertaking a systematic review, including literature searching, inclusion criteria, quality assessment, grading of evidence, data collection, and data analysis. These guidelines will help researchers design, conduct, and report results of systematic reviews of trials in the following fields of musculoskeletal health: gout, osteoarthritis, osteoporosis, pediatric rheumatology, rheumatoid arthritis, soft tissue rheumatism, spondyloarthropathy, systemic lupus erythematosus, systemic sclerosis, and vasculitis. Systematic reviews need to be conducted according to high methodological standards. These recommendations on developing and performing a systematic review will help improve consistency among CMSG reviews.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.468
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.113
GPT teacher head0.413
Teacher spread0.300 · 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 designNot applicable
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

Citations103
Published2006
Admission routes1
Has abstractyes

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