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Record W2070820489 · doi:10.2310/7750.2010.09058

Digital Mucous Cysts

2010· review· en· W2070820489 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2010
Typereview
Languageen
FieldDentistry
TopicOral and Maxillofacial Pathology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineEtiologyPathogenesisMedical diagnosisEpidemiologyOsteoarthritisTreatment modalitySurgeryDifferential diagnosisDermatologyPathologyAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Digital mucous cyst (DMC) is a common benign condition, but consensus has not been reached regarding its pathogenesis and treatment. OBJECTIVE: This review provides a concise overview of DMCs. METHODS: The review presents the literature pertaining to the etiology, pathogenesis, classification, clinical features, epidemiology, differential diagnoses, diagnosis, and management of DMCs. RESULTS: DMCs have a predilection for middle-aged patients, a good prognosis, and a high recurrence rate. DMCs may occur in one of three locations on the distal digit. They arise owing to a metaplastic or degenerative process. Preexisting osteoarthritis is common and may be an etiologic factor in patients with DMCs. A number of conservative and surgical treatments are available depending on the structures and locations involved. CONCLUSION: Studies with greater sample size and longer follow-up would enrich current knowledge of the benefits, recurrences, and complications for each treatment modality.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.942
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.050
GPT teacher head0.328
Teacher spread0.278 · 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