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Record W2957999323 · doi:10.1038/s41393-019-0321-1

Cerebrovascular function is preserved during mild hyperthermia in cervical spinal cord injury

2019· article· en· W2957999323 on OpenAlexafffund
Geoff B. Coombs, Diana Vucina, Hannah G. Caldwell, Otto Barak, Tanja Mijačika, Amanda H. X. Lee, Zoe K. Sarafis, Jordan W. Squair, Andrei V. Krassioukov, Aaron A. Phillips, Željko Dujić, Philip N. Ainslie

Bibliographic record

VenueSpinal Cord · 2019
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of CalgaryInternational Collaboration On Repair DiscoveriesUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersCanada Research ChairsInternational Collaboration on Repair DiscoveriesUniversity of Calgary
KeywordsMedicineAnesthesiaTranscranial DopplerMiddle cerebral arteryInternal carotid arterySpinal cord injuryCardiologyMean arterial pressureCerebral blood flowInternal medicineBasilar arteryPosterior cerebral arterySpinal cordBlood pressureIschemiaHeart rate

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0030.002

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 head0.072
GPT teacher head0.375
Teacher spread0.303 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2019
Admission routes2
Has abstractno

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