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Record W4231319722 · doi:10.1093/pch/pxx060

Up Schmidt’s creek: When the right treatment goes wrong

2017· article· en· W4231319722 on OpenAlexaff
Andrea R. D. Ens, Jonathan D. Wasserman

Bibliographic record

VenuePaediatrics & Child Health · 2017
Typearticle
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsUniversity of TorontoMarkham Stouffville HospitalHospital for Sick Children
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

A 15-year-old girl, previously well, presented to her family physician with a 2-month history of fatigue and exercise intolerance. There was no history of fever, syncope, palpitations, wheezing, polyuria, polydipsia, constipation or cold intolerance. She had no sick contacts. Breast development began at 12 years but she had not experienced menarche. There were no medications or recreational drug use. Her father has type 1 diabetes mellitus and her maternal grandfather had acquired anemia. Investigations included elevated thyroid stimulating hormone (TSH) and low free T4. She was diagnosed with hypothyroidism. Levothyroxine was initiated at 50 μg (1.3 μg/kg) daily, thyroid function tests were repeated 6 weeks later without dose change. Over the ensuing 3 months, there was no symptomatic relief. Rather, she reported progressive fatigue, abdominal pain and 5 lbs weight loss. Three months later, she presented to our emergency department. Blood pressure was 92/60, heart rate was 90 bpm without orthostatic changes. Cardiovascular, respiratory, abdominal and neurologic exams were normal. TSH was 14 mIU/L (0.5 to 5.0); free T4 was 11.3 pmol/L (10.0 to 23.0). Complete blood count (CBC), C-reactive protein (CRP), glucose, electrolytes and urinalysis were normal. Levothyroxine was increased to 75 µg daily. Ten days later, she returned to the emergency department with hypotension and worsening fatigue. She was afebrile. Blood pressure was 72/44 without orthostatic change. Supine heart rate was 118 bpm and standing was 140 bpm. Thyroid examination was normal. Examination and further bloodwork confirmed the diagnosis.

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)0.001
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0230.009

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 head0.023
GPT teacher head0.306
Teacher spread0.283 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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