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Record W2085424233 · doi:10.14740/jem.v4i4.228

Hypoparathyroidism, Hypothyroidism and Thrombocytopenia: Rare Constellation of Fahr’s Syndrome

2014· article· en· W2085424233 on OpenAlexvenueno aff
Nilma Malik, Vishwanath Pattan, Qiang Nai, Abdalla Yousif

Bibliographic record

VenueJournal of Endocrinology and Metabolism · 2014
Typearticle
Languageen
FieldMedicine
TopicThyroid and Parathyroid Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHypoparathyroidismPresentation (obstetrics)PediatricsInternal medicineSurgery

Abstract

fetched live from OpenAlex

Fahr’s syndrome is a rare progressive unremitting neurological disorder, characterized by abnormal bilaterally symmetric brain calcifications. It is associated with various endocrinopathies such as hypothyroidism, hypoparathyroidism and hypocalcemia. This case opens up a new horizon of thought process, as it illustrates the clinical presentation of Fahr’s syndrome with thrombocytopenia never reported before. It especially emphasizes on the diagnostic significance of combination of thrombocytopenia with seizures in Fahr’s, as this coupling can result in fatal intracranial hemorrhage if timely seizure management is not initiated. J Endocrinol Metab. 2014;4(4):110-111 doi: http://dx.doi.org/10.14740/jem228w

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)0.003
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.018
GPT teacher head0.258
Teacher spread0.240 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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