MétaCan
Menu
Back to cohort
Record W1992577686 · doi:10.1080/02770900600857192

Measuring Asthma Severity: Instrument Refinement

2006· article· en· W1992577686 on OpenAlexaff
Sharon D. Horner, Gail M. Kieckhefer, Rachel T. Fouladi

Bibliographic record

VenueJournal of Asthma · 2006
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsSimon Fraser University
FundersNational Institute of Nursing Research
KeywordsAsthmaMedicineScale (ratio)Reliability (semiconductor)Quality of life (healthcare)Convergent validityPsychometricsSeverity of illnessValidityClinical psychologyPhysical therapyPsychiatryInternal consistencyImmunologyNursing

Abstract

fetched live from OpenAlex

The focus of this study is to evaluate a brief parent-report instrument, the Severity of Chronic Asthma (SCA) scale, that conforms to the national guidelines for assessing asthma. Convergent validity was found between the SCA and other measures related to asthma severity including an illness severity scale (How Bad is the Asthma?), asthma management scales for parents and children, and the pediatric quality-of-life scale. The SCA is a multidimensional scale with appropriate evidence of reliability and validity that may be a heuristic and effective measure in both clinical practice and research endeavors.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.021
GPT teacher head0.247
Teacher spread0.226 · 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 designOther design
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

Citations23
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueJournal of AsthmaSame topicAsthma and respiratory diseasesFrench-language works237,207