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Global, regional, and national burden of osteoarthritis, 1990-2020 and projections to 2050: a systematic analysis for the Global Burden of Disease Study 2021.

2023· article· en· W37675071 on OpenAlexfundno aff
尚美 田丸

Bibliographic record

VenuePubMed · 2023
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
FundersInternational Door AssociationFaculty of Medicine and Health, University of SydneyUniversity of Health and Allied SciencesRede de Química e TecnologiaNational Center of Neurology and PsychiatryMadda Walabu UniversityUniversity of South CarolinaUniversitetet i BergenLaboratório Associado para a Química VerdeUniversity of PeradeniyaBahir Dar UniversityXiamen UniversityUniversity of TorontoUniversidade Federal de Santa CatarinaNational Health and Medical Research CouncilUniversidade de São PauloShiraz University of Medical SciencesResearch Management Centre, International Islamic University MalaysiaMenzies Institute for Medical ResearchShiraz UniversityKing Abdulaziz UniversityConselho Nacional de Desenvolvimento Científico e TecnológicoMinistero della SaluteIslamic Azad UniversityKasturba Medical College, ManipalBill and Melinda Gates FoundationCurtin University of TechnologyMonash UniversityRussian Academy of SciencesUniversiteit MaastrichtMinistarstvo Prosvete, Nauke i Tehnološkog RazvojaRoyal College of Surgeons in IrelandPublic Health Foundation of IndiaMedical Research CouncilIndian Council of Medical ResearchNational Institute for Health and Care ResearchHøgskulen på VestlandetSaveetha Dental CollegeUniversity of TasmaniaUniversity of Southern CaliforniaFondation de la recherche en santé du Nouveau-BrunswickBabol University of Medical SciencesTehran University of Medical Sciences and Health ServicesIran University of Medical SciencesU.S. Department of Veterans AffairsInternational Association for the Study of PainKaiser PermanentePirogov Russian National Research Medical University
KeywordsComputer science

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)0.005
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.070
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.012
Bibliometrics0.0070.011
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.287
Teacher spread0.256 · 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 designMeta-analysis
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
Published2023
Admission routes1
Has abstractno

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