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Record W2260868351 · doi:10.1017/cbo9781139152211.021

Opioids

2013· book-chapter· en· W2260868351 on OpenAlexaff
Andrea D Furlan, Angela Mailis

Bibliographic record

VenueCambridge University Press eBooks · 2013
Typebook-chapter
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsWestern UniversityUniversity of Calgary
Fundersnot available
KeywordsMedicineSciaticaNerve rootNeurogenic claudicationCauda equinaLumbar NerveBack painAsymptomaticLow back painPelvisSurgeryClaudicationLumbosacral jointLumbosacral plexusSpinal stenosisRadiologySpinal cordLumbarPathologyVascular disease

Abstract

fetched live from OpenAlex

Nerve root compression can occur from osteophyte formation, disc herniation, or a combination. As only 1-2% of patients with back pain have a nerve root or spinal cord compression, an accurate diagnosis of the causes of painful radiculopathy relies on a thorough history and physical exam. It is important to note that many asymptomatic individuals have abnormalities such as disc herniations and foraminal stenosis on CT and MRI. Therefore, the imaging findings must be correlated with the history and examination findings. Surgery for spinal stenosis and neurogenic claudication is indicated if severe pain is present, and can provide sustained relief. Since the spinal cord terminates at the L1-2 vertebral level, lumbar pathology below this level may compress the distal nerve root, causing a cauda equina syndrome. A lesion affecting the lumbosacral plexus (LSP) can present with pain in the low back, hip or pelvis, or with sciatica pain.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.260
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2600.099

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 head0.021
GPT teacher head0.198
Teacher spread0.177 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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