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Record W2742461847 · doi:10.1080/24740527.2017.1362942

Post-concussion symptoms and chronic pain after mild traumatic brain injury are modulated by multiple locus effect in the <i>BDNF</i> gene through the expression of antisense: A pilot prospective control study

2017· article· en· W2742461847 on OpenAlexafffund
Samar Khoury, Julia P. Segal, Marc Parisien, Anne Noreau, Patrick A. Dion, Rodrigo Benavides, Jean‐François Giguère, Ronald Denis, Inna Belfer, Luda Diatchenko, Guy A. Rouleau, Gilles Lavigne

Bibliographic record

VenueCanadian Journal of Pain · 2017
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsMontreal Neurological Institute and HospitalMcGill UniversityUniversité de MontréalHôpital du Sacré-Cœur de Montréal
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchCanada Excellence Research Chairs, Government of CanadaCanada Research Chairs
KeywordsConcussionRivermead post-concussion symptoms questionnaireChronic painTraumatic brain injuryMedicinePost-concussion syndromeBrain-derived neurotrophic factorNeuropathic painInternal medicineNeurotrophic factorsPhysical therapyPsychiatryPoison controlAnesthesiaInjury prevention

Abstract

fetched live from OpenAlex

, against post-concussion symptoms and pain in the acute phase and possibly chronic pain at one year post-mTBI. The role of antisense RNA should be validated in larger cohorts.

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)0.009
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.795

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.023
GPT teacher head0.301
Teacher spread0.279 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2017
Admission routes2
Has abstractyes

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