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Record W2470779975 · doi:10.1136/bjsports-2016-096384

2016 Patellofemoral pain consensus statement from the 4th International Patellofemoral Pain Research Retreat, Manchester. Part 1: Terminology, definitions, clinical examination, natural history, patellofemoral osteoarthritis and patient-reported outcome measures

2016· article· en· W2470779975 on OpenAlexaff
Kay M. Crossley, Joshua J. Stefanik, James Selfe, Natalie J. Collins, Irene S. Davis, Christopher M. Powers, Jenny McConnell, Bill Vicenzino, David M. Bazett-Jones, Jean-François Esculier, Dylan Morrissey, Michael J. Callaghan

Bibliographic record

VenueBritish Journal of Sports Medicine · 2016
Typearticle
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsUniversité LavalCentre for Interdisciplinary Research in Rehabilitation
FundersNational Institute for Health and Care Research
KeywordsPhysical therapyNatural historyMedicinePatellofemoral pain syndromeKnee painOsteoarthritisPhysical medicine and rehabilitationAlternative medicine

Abstract

fetched live from OpenAlex

No description supplied

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 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)0.035
metaresearch head score (Gemma)0.062
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.035
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.062
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0060.004
Science and technology studies0.0020.002
Scholarly communication0.0040.003
Open science0.0060.005
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0110.009

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 head0.135
GPT teacher head0.307
Teacher spread0.172 · 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 designNot applicable
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

Citations596
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueBritish Journal of Sports MedicineSame topicLower Extremity Biomechanics and PathologiesFrench-language works237,207