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Nablus Mask-Like Facial Syndrome with Moderate Developmental Delay

2020· article· en· W3036206500 on OpenAlexaff
Bahadır Turan, Mehmet Akif Akıncı, İbrahim Selçuk Esin, Onur Burak Dursun

Bibliographic record

VenueEurasian Journal of Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicBiomedical Research and Pathophysiology
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsPhiltrumBlepharophimosisCraniofacialCraniofacial abnormalityMedicineNoseAudiologyPsychologyDermatologyAnatomyPtosisSurgeryUpper lipPsychiatry

Abstract

fetched live from OpenAlex

Nablus mask-like facial syndrome (NMLFS) is defined by distinctive craniofacial appearance including tight-appearing glistening facial skin, blepharophimosis, telecanthus, severe arched eyebrows, flat and broad nose, long philtrum, distinctive ears, unusual hair patterns, mild developmental delay and “happy” disposition. We aim to report a 7-year-old boy diagnosed with NMLFS and moderate developmental delay. Literature emphasis that Intellectual Disability is common in this syndrome though it has been diagnosed to only a few people worldwide. Cite this article as: Turan B, Akıncı MA, Esin İS, Dursun OB. Nablus Mask-Like Facıal Syndrome with Moderate Developmental Delay. Eurasian J Med 2020; 52(2): 229-30.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.037
GPT teacher head0.287
Teacher spread0.250 · 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 designCase report
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

Citations3
Published2020
Admission routes1
Has abstractyes

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