MétaCan
Menu
Back to cohort

Differences of RSNs between MHE patients and healthy controls.

2015· dataset· en· W6922934351 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2015
Typedataset
Languageen
FieldArts and Humanities
TopicScientific and Historical Analyses
Canadian institutionsnot available
Fundersnot available
KeywordsCingulate cortexDefault mode networkAnterior cingulate cortexPosterior cingulateSign (mathematics)Hippocampus

Abstract

fetched live from OpenAlex

Positive sign in the peak t-score represents increase, and negative sign represents decrease. All P<0.05, corrected for multiple comparisons using AlphaSim program. RSN = resting-state network; Hem = hemisphere; BA = Brodmann's area; MHE = minimal HE; MNI = Montreal Neurological Institute. PCC/PCUN = Posterior cingulate cortex/precuneus; DAN = dorsal attention network; DMN = default mode network; VN = visual network; and AN = auditory network. * The region in the anterior cingulate cortex and bilateral hippocampus survived the height but not the extent threshold.

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)0.001
metaresearch head score (Gemma)0.004
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.061
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0610.021

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 head0.168
GPT teacher head0.284
Teacher spread0.116 · 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
GenreDataset

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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueFigshareSame topicScientific and Historical AnalysesFrench-language works237,207