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Record W6980280

Entorno de simulación para verificación y validación de equipamiento CBTC

2013· article· en· W6980280 on OpenAlexvenueno aff
Israel Goméz Rey Romero, José Manuel Mera Sánchez De Pedro, Emilia Rodrigo Herrero, María Luisa Martínez Muneta

Bibliographic record

VenueThe Journal of Rheumatology · 2013
Typearticle
Languageen
FieldEnergy
TopicEnvironmental and Ecological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesLineaPhysicsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

In Caucasians with systemic lupus erythematosus (SLE), we have identified 3 risk markers in the HLA-D region -- HLA-DR2, HLA-DR3, and la-715 -- and have used these markers to probe 7 families in which more than 1 case of lupus had occurred. In 6 of the 7 families studied, persons with SLE were either homozygous for HLA-DR2, had 2 haplotypes carrying reactivity with la-715, or had at least 2 of the 3 risk markers HLA-DR2, HLA-DR3, and la-715. Several normal individuals in these kindreds also had these multiple risk markers but had no signs or symptoms of lupus. This limited study of lupus families suggests a role for coinheritance of HLA-D region genes as a factor in the development of SLE.

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)0.098
metaresearch head score (Gemma)0.307
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.516

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0980.307
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.247
Teacher spread0.227 · 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 designSimulation or modeling
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
Published2013
Admission routes1
Has abstractyes

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