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Record W7009629554

Étude des déficits sensori-moteurs associés aux douleurs lombaires

2018· other· fr· W7009629554 on OpenAlexfundno aff

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2018
Typeother
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicSpider Taxonomy and Behavior Studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchFondation Chiropratique du Québec
KeywordsBack painArterial diseaseContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Au cours des dix dernières années, on a pu observer l'émergence de nouvelles problématiques de recherche portant sur les dysfonctions et les syndromes douloureux de la région lombaire. En effet, de nombreux chercheurs s'intéressent maintenant aux liens possibles entre le contrôle moteur, l'utilisation des informations proprioceptives en provenance du tronc et le développement de douleurs lombaires chroniques et aiguës. Dans cette thèse, trois articles permettant d'approfondir la question des déficits sensori-moteurs associés aux douleurs lombaires sont présentés. Les effets de la douleur chronique et de la douleur expérimentale dans des tâches de forces isométriques et de repositionnement du tronc sont, entre autres, abordés. Un quatrième article aux portées cliniques présente les résultats d'une étude sur les effets préventifs de la manipulation vertébrale. L'évaluation du statut sensori-moteur des patients atteints de douleurs lombaires permettra éventuellement de développer de nouveaux indices cliniques qui faciliteront le suivi et les interventions cliniques.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.750
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.223
Teacher spread0.206 · 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 designNot applicable
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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

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