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Record W2161554803 · doi:10.7547/87507315-91-2-89

Atypical Presentation of Plantar Fasciitis Secondary to Soft-Tissue Mass Infiltration

2001· article· en· W2161554803 on OpenAlexaff
Alan Ng, Terrance Beegle, Andrea K. Rockett

Bibliographic record

VenueJournal of the American Podiatric Medical Association · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMyofascial pain diagnosis and treatment
Canadian institutionsRichmond Hospital
Fundersnot available
KeywordsMedicinePlantar fasciaPlantar fasciitisMagnetic resonance imagingFasciaNodular fasciitisDeep fasciaSurgeryPresentation (obstetrics)Physical examinationSoft tissueFascia lataFasciitisUltrasoundRadiologyAnatomyHeel

Abstract

fetched live from OpenAlex

This article describes a patient with plantar fascial pain who presented to the office of one of the authors. Physical examination and the patient's description of the history of symptoms revealed classic signs and symptoms of plantar fasciitis. The patient was treated with numerous conservative modalities, including ultrasound, nonsteroidal anti-inflammatory medications, trigger-point injections, over-the-counter orthoses, and stretching exercises. When the pain was not relieved by these conservative measures, magnetic resonance imaging of the area was performed. Visualization of the insertional area of the plantar fascia revealed a mass inferior to, as well as infiltrated into, the plantar fascia. Surgical excision of the lesion resulted in complete elimination of the patient's pain.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.260

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.005
GPT teacher head0.256
Teacher spread0.252 · 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 designObservational
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

Citations5
Published2001
Admission routes1
Has abstractyes

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