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Record W3165025201 · doi:10.46292/sci2702-23

International Standards to document Autonomic Function following SCI (ISAFSCI)

2021· article· en· W3165025201 on OpenAlexaff
Jill M. Wecht, Andrei V. Krassioukov, Marcalee Alexander, John P. Handrakis, Stephen L. McKenna, Michael Kennelly, Michele Trbovich, Fin Biering‐Sørensen, Stephen P. Burns, Stacy Elliott, Daniel Graves, James Hamer, Klaus Krogh, Todd A. Linsenmeyer, Nan Liu, Ellen Merete Hagen, Aaron A. Phillips, Jean-Gabriel Previnaire, Gianna M. Rodriguez, Chloe Slocum, James R. Wilson

Bibliographic record

VenueTopics in Spinal Cord Injury Rehabilitation · 2021
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsLibin Cardiovascular Institute of AlbertaGF Strong Rehabilitation CentreInternational Collaboration On Repair DiscoveriesUniversity of British ColumbiaUniversity of CalgaryVancouver Coastal Health
FundersU.S. Department of Veterans Affairs
KeywordsMedicineAutonomic functionFunction (biology)Physical medicine and rehabilitationPhysical therapyInternal medicineBlood pressureHeart rate variabilityHeart rate

Abstract

fetched live from OpenAlex

It should be noted that the purpose of the ISAFSCI is to address the impact of the SCI in and of itself on ANS functioning.Therefore it is vital to acknowledge when other issues are present that may contribute to or impact autonomic function, such as other neuropathies, medications, or co-incident medical conditions.

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)0.028
metaresearch head score (Gemma)0.071
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: Methods · Consensus signal: Methods
Teacher disagreement score0.028
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.071
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0070.004
Science and technology studies0.0020.003
Scholarly communication0.0050.003
Open science0.0030.005
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0050.008

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 head0.017
GPT teacher head0.356
Teacher spread0.339 · 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
GenreMethods

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

Citations105
Published2021
Admission routes1
Has abstractno

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