MétaCan
Menu
Back to cohort
Record W1992368455 · doi:10.1310/sci1404-1

Detection and Treatment of Sublesional Osteoporosis Among Patients with Chronic Spinal Cord Injury

2009· article· en· W1992368455 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTopics in Spinal Cord Injury Rehabilitation · 2009
Typearticle
Languageen
FieldMedicine
TopicBone and Joint Diseases
Canadian institutionsSt. Joseph’s Healthcare HamiltonHamilton Health SciencesHamilton General HospitalToronto Rehabilitation Institute
Fundersnot available
KeywordsMedicineOsteoporosisSpinal cord injuryRehabilitationBone mineralPhysical therapyBisphosphonateSpinal cordInternal medicine

Abstract

fetched live from OpenAlex

Low hip and knee region bone mineral density (BMD) after spinal cord injury (SCI) results in an increased risk of lower extremity fragility fractures or sublesional osteoporosis (SLOP). There are currently no guidelines for the identification and treatment of SLOP among patients with chronic SCI. A paradigm for identification (medical screening, fracture risk, and bone mineral density assessment) of persons with SLOP who warrant treatment and selection of appropriate SLOP treatment(s) (lifestyle/nutrition modifications, bisphosphonate/rehabilitation therapies) is proposed. Content is based on the authors' opinions/expertise and available published and unpublished literature and is intended for use by rehabilitation professionals.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.307
Teacher spread0.291 · 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