MétaCan
Menu
Back to cohort
Record W2386665555 · doi:10.1093/pch/21.4.175a

Case 2: An adolescent athlete with chronic back pain

2016· article· en· W2386665555 on OpenAlexaff
Amrit Kirpalani, Victor Istasy, Rodrick Lim

Bibliographic record

VenuePaediatrics & Child Health · 2016
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsMedicinePhysical therapyChronic painPhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

A 15-year-old female presented to the emergency department with severe pelvic and back pain, on the background of chronic pelvic pain. She reported that she had been experiencing pain for approximately two years, but that her pain had become increasingly disabling over the past six weeks. Her pain was located in both lower quadrants, with radiation to her back. She denied any fevers, chills, urinary symptoms or changes in her bowel movements. The patient had never experienced menses or any vaginal bleeding. She denied sexually activity, had never had a Pap smear, nor any sexually transmitted infections. She was a competitive figure skater but had been unable to continue in this activity because of the pain. She had been followed by sports medicine and despite physiotherapy had not improved. She was otherwise healthy, with no significant past medical conditions. On examination, she was afebrile and her vital signs were all within normal limits. On abdominal examination, she had supra-pubic tenderness and a mass was palpated at the level of her umbilicus.

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)0.005
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0050.002
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0090.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.015
GPT teacher head0.277
Teacher spread0.262 · 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

Citations4
Published2016
Admission routes1
Has abstractyes

Explore more

Same venuePaediatrics & Child HealthSame topicSports injuries and preventionFrench-language works237,207