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Record W3003385085 · doi:10.1016/j.apmr.2019.12.017

Shoulder Rotator Cuff Disorders: A Systematic Review of Clinical Practice Guidelines and Semantic Analyses of Recommendations

2020· review· en· W3003385085 on OpenAlexafffund
Patrick Doiron-Cadrin, Simon Lafrance, Marie Saulnier, Émie Cournoyer, Jean‐Sébastien Roy, Joseph-Omer Dyer, Pierre Frémont, Clermont E. Dionne, Joy C. MacDermid, Michel Tousignant, Annie Rochette, Véronique Lowry, Nathalie J. Bureau, Martin Lamontagne, Marie‐France Coutu, Patrick Lavigne, François Desmeules

Bibliographic record

VenueArchives of Physical Medicine and Rehabilitation · 2020
Typereview
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsHôpital Charles-Le MoyneUniversité de SherbrookeCentre hospitalier de l'Université LavalUniversité de MontréalUniversité LavalWestern UniversityCentre for Interdisciplinary Research in RehabilitationHôpital Maisonneuve-Rosemont
FundersInstitut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail
KeywordsMedicineRotator cuffMEDLINEModalitiesData extractionChecklistPhysical therapyRehabilitationCochrane LibrarySystematic reviewPhysical medicine and rehabilitationAlternative medicineSurgeryPathologyPsychology

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)0.032
metaresearch head score (Gemma)0.166
Version: metacan-v3-hybrid-931329e0061cValidation 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: Review · Consensus signal: Review
Teacher disagreement score0.032
Threshold uncertainty score0.169

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.166
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0110.011
Bibliometrics0.0210.016
Science and technology studies0.0010.002
Scholarly communication0.0050.005
Open science0.0040.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.148
GPT teacher head0.539
Teacher spread0.391 · 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.

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

Citations159
Published2020
Admission routes2
Has abstractno

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