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Record W3047093814 · doi:10.46292/sci2602-123

A Primary Care Provider’s Guide to Autonomic Dysfunction Following Spinal Cord Injury

2020· review· en· W3047093814 on OpenAlexaff
Andrei V. Krassioukov, Michael Stillman, Lisa A. Beck

Bibliographic record

VenueTopics in Spinal Cord Injury Rehabilitation · 2020
Typereview
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsInternational Collaboration On Repair DiscoveriesGF Strong Rehabilitation CentreUniversity of British Columbia
Fundersnot available
KeywordsMedicineSpinal cord injuryAutonomic nervous systemAutonomic functionSpinal cordParalysisNeurosciencePhysical medicine and rehabilitationBlood pressureHeart rateInternal medicineHeart rate variabilityPsychologySurgeryPsychiatry

Abstract

fetched live from OpenAlex

Spinal cord injury (SCI) disrupts the crucial "crosstalk" between the spinal autonomic nervous system and supraspinal control centers. Therefore, SCI may result not only in motor paralysis but also in potentially life-threatening impairments of many autonomic functions including, but not limited to, blood pressure regulation. Despite the detrimental consequences of autonomic dysregulation, management and recovery of autonomic functions after SCI is greatly underexplored. Although impaired autonomic function may impact several organ systems, this overview will focus primarily on disruptions of cardiovascular and thermoregulation and will offer suggestions for management of these secondary effects of SCI.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.929
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.065
GPT teacher head0.443
Teacher spread0.378 · 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 designOther design
Domainnot available
GenreReview

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

Citations15
Published2020
Admission routes1
Has abstractyes

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