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Record W4399760338 · doi:10.1038/s41366-024-01559-7

Assessment of guidelines for bariatric and metabolic surgery: a systematic review and evaluation using appraisal of guidelines for research and evaluation II (AGREE II)

2024· review· en· W4399760338 on OpenAlexaff
Yung Lee, Caroline Hircock, Jerry T. Dang, James Jung, Boris Zevin, Ahmad Elnahas, Jigish Khamar, Ashley Vergis, Umair Tahir, Krista Hardy, Yasith Samarasinghe, Richdeep S. Gill, Jeffrey Gu, Tyler McKechnie, Radu Pescarus, Laurent Biertho, Elaine T. Lam, Amy Neville, James Ellsmere, Shahzeer Karmali, Timothy Jackson, Allan Okrainec, Aristithes Doumouras, Matthew Kroh, Dennis Hong

Bibliographic record

VenueInternational Journal of Obesity · 2024
Typereview
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsDalhousie UniversityUniversity of OttawaUniversity of British ColumbiaUniversité LavalUniversité de MontréalUniversity of SaskatchewanUniversity of AlbertaUniversity of ManitobaUniversity of TorontoWestern UniversityMcMaster UniversityQueen's University
Fundersnot available
KeywordsMedicineMEDLINEGuidelineSleeve gastrectomyCritical appraisalPerioperativeEvidence-based medicineChecklistSurgeryObesityWeight lossAlternative medicineGastric bypassInternal medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.118
metaresearch head score (Gemma)0.318
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.882
Threshold uncertainty score0.623

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1180.318
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0150.020
Bibliometrics0.0170.012
Science and technology studies0.0020.003
Scholarly communication0.0060.006
Open science0.0050.006
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0060.001

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 head0.819
GPT teacher head0.719
Teacher spread0.099 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designSystematic review
DomainEvaluation
GenreReview

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

Citations3
Published2024
Admission routes1
Has abstractno

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