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Record W1969631519 · doi:10.1310/74xr-dfef-60a0-cenc

Current Primary to Tertiary Prevention of Spinal Cord Injury

2004· article· en· W1969631519 on OpenAlexaff
Charles H. Tator

Bibliographic record

VenueTopics in Spinal Cord Injury Rehabilitation · 2004
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsMedicinePrimary preventionSpinal cord injuryTertiary careLegislationPrimary careFamily medicineMedical emergencySpinal cordPhysical therapyPsychiatryPathology

Abstract

fetched live from OpenAlex

Prevention of spinal cord injuries requires a continuum of strategies comprising primary, secondary, and tertiary measures, with the former beginning prior to the injury and the latter continuing for the lifetime of the injured person. Primary prevention is based on detailed epidemiological studies and is facilitated by ongoing registries. Primary prevention involves education, legislation and enforcement, and engineering and technological measures. Secondary injury prevention is the responsibility of the entire health care system and includes first aid, retrieval, and acute hospitalization of the injured person, whereas primary and tertiary injury prevention are the concerns of everyone in the community, both medical and nonmedical personnel. ThinkFirst is a targeted spinal cord injury prevention program that is active in many countries.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.432
Teacher spread0.384 · 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 teacher head, not a consensus.

Study designObservational
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
Published2004
Admission routes1
Has abstractyes

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