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Record W2548199347 · doi:10.3389/fncel.2016.00257

Functional Connectivity Substrates for tDCS Response in Minimally Conscious State Patients

2016· article· en· W2548199347 on OpenAlexafffund
Carlo Cavaliere, Marco Aiello, Carol Di Perri, Enrico Amico, Charlotte Martial, Aurore Thibaut, Steven Laureys, Andrea Soddu

Bibliographic record

VenueFrontiers in Cellular Neuroscience · 2016
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaEuropean CommissionFonds De La Recherche Scientifique - FNRSBelgian American Educational FoundationJames S. McDonnell Foundation
KeywordsPrecuneusDefault mode networkMinimally conscious stateTranscranial direct-current stimulationPersistent vegetative stateResting state fMRIFunctional magnetic resonance imagingDorsolateral prefrontal cortexNeuroscienceFunctional connectivityMedicinePsychologyPrefrontal cortexAnterior cingulate cortexStimulationConsciousnessCognition

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.246
Teacher spread0.213 · 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 designBench or experimental
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

Citations44
Published2016
Admission routes2
Has abstractyes

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