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Record W4386128735 · doi:10.3348/kjr.2023.0748

Erratum: Agreement and Reliability between Clinically Available Software Programs in Measuring Volumes and Normative Percentiles of Segmented Brain Regions

2023· erratum· en· W4386128735 on OpenAlexfundno aff
Huijin Song, Seun Ah Lee, Sang Won Jo, Suk‐Ki Chang, Yunji Lim, Yeong Seo Yoo, Jae Ho Kim, Seung Hong Choi, Chul‐Ho Sohn

Bibliographic record

VenueKorean Journal of Radiology · 2023
Typeerratum
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchNational Institutes of HealthNorthern California Institute for Research and EducationBioClinicaU.S. Department of DefenseAlzheimer's Disease Neuroimaging InitiativeUniversity of Southern CaliforniaBristol-Myers SquibbEli Lilly and CompanyBiogenEisaiAlzheimer's AssociationGenentechIXICO
KeywordsMedicineNormativeReliability (semiconductor)PercentileMedical physicsStatisticsEpistemology

Abstract

fetched live from OpenAlex

This corrects the article on p. 959 in vol. 23, PMID: 36175000.

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)0.028
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.279
GPT teacher head0.380
Teacher spread0.100 · 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.

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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueKorean Journal of RadiologySame topicHealth Systems, Economic Evaluations, Quality of LifeFrench-language works237,207