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Record W1562562033

The female athlete triad: a case series and narrative overview.

2013· article· en· W1562562033 on OpenAlexaff
Michelle A Laframboise, Cameron Borody, Paula Stern

Bibliographic record

VenuePubMed · 2013
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsCanadian Memorial Chiropractic College
Fundersnot available
KeywordsComputer scienceFemale athlete triadNarrativeSeries (stratigraphy)Data scienceTriad (sociology)BioinformaticsInformation retrievalWorld Wide WebComputational biologyMedicineBiologyPsychologyPsychoanalysisPaleontologyLiteratureDisordered eatingPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To illustrate the varying presentations of the female athlete triad and to inform the practitioner of the potential sequelae of this common condition. CLINICAL FEATURES: Four patients presented with a variety of signs and symptoms of the female athlete triad including low caloric intake, osteoporosis, amenorrhea and/or endothelial dysfunction. INTERVENTION AND OUTCOME: A conservative treatment approach was utilized in each case including education on the female athlete triad, education on increased caloric intake and a referral to the family physician. CONCLUSION: Health care practitioners should be aware of the different clinical presentations of the female athlete triad. A narrative review of the literature is provided to educate practitioners on the components of the female athlete triad, proper diagnosis and appropriate management.

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)0.004
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.060
GPT teacher head0.324
Teacher spread0.264 · 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

Citations5
Published2013
Admission routes1
Has abstractyes

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