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Record W4380450295 · doi:10.1007/s10067-023-06661-1

The differential panorama of clinical features of lupus erythematosus patients with different onset ages: a cross-sectional multicenter study from China

2023· article· en· W4380450295 on OpenAlexfundno aff
Yangyiyi Yu, Hui Jin, Shihang Zhou, Ming Zhao, Haijing Wu, Hai Long, Siqi Fu, Ruifang Wu, Heng Yin, Jieyue Liao, Shuangyan Luo, Yu Liu, Qing Zhang, Peng Zhang, Yixin Tan, Xin Huang, Fen Li, Guanghui Lin, Qianjin Lu

Bibliographic record

VenueClinical Rheumatology · 2023
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
FundersProgram for Top 100 Innovative Talents in Colleges and Universities of Hebei ProvinceNatural Science Foundation of Hainan ProvinceChinese Academy of Medical Sciences Initiative for Innovative MedicineOntario Ministry of Health and Long-Term CareNational Natural Science Foundation of ChinaSpecial Funds for the Basic Research and Development Program in the Central Non-profit Research Institutesof ChinaInnovative Research Group Project of the National Natural Science Foundation of China
KeywordsMedicineMucocutaneous zoneAge of onsetRheumatologyFamily historyInternal medicineYoung adultPediatricsDisease

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.011
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.050
GPT teacher head0.405
Teacher spread0.356 · 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

Citations5
Published2023
Admission routes1
Has abstractno

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