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Record W4246343439 · doi:10.1017/s0317167100049775

37th Meeting of the Canadian Congress of Neurological Sciences

2002· article· en· W4246343439 on OpenAlexvenueaboutno aff

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2002
Typearticle
Languageen
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsnot available
FundersNational Cancer InstituteNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsAction (physics)Content (measure theory)MedicinePsychologyNeurosciencePhysicsMathematics

Abstract

fetched live from OpenAlex

Background: The measurement of clinical outcome in pediatric hydrocephalus frequently ignores the substantial effect that the condition can have on a child's physical, emotional, cognitive and social health.Therefore, we developed the first health status outcome measure (HSOM) designed specifically for children with hydrocephalus.This was designed as a simple questionnaire to be completed by the children's parents.Methods: The standardized steps in the development of a HSOM were followed.Item generation involved health professionals and focus groups with parents of children with hydrocephalus.This created a comprehensive list of 187 unique health status items.To reduce this list, questionnaires were sent to 70 sets of parents to assess what they felt were the most important of these health issues.The 53 most important items were then selected to represent the following health domains: physical, social, emotional and cognitive.The 53-item questionnaire was then tested for reliability and construct validity, in another cohort of 75 sets of parents, against the following independent measures of specific components of health: Health Utilities Index (HUI-2), Wide Range Achievement Reading Test (WRAT), Strengths and Difficulties Questionnaires (SDQ), Functional Independence Measure for Children (WeeFIM), and global health ratings by surgeons (GHRS).Results: The multidimensional 53-item HSOM took approximately 10-15 minutes for the parents to complete and demonstrated excellent test-retest reliability (0.91, 95% confidence interval (CI) 0.85-0.96),inter-rater reliability (0.87, 95% CI 0.76-0.93),and internal consistency (Cronbach's alpha 0.94).Construct validity was demonstrated by very good Pearson correlations of domain scores with their respective independent measures: HUI-2 (0.81), WRAT (0.58), SDQ (0.70), WeeFIM (0.88), GHRS (0.68).Conclusions: A HSOM for children with hydrocephalus has been developed and has demonstrated excellent reliability and validity properties.This will provide a valuable measurement tool for a wide range of clinical research projects in pediatric hydrocephalus comparing long-term outcome in different groups of patients.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.252
Threshold uncertainty score0.843

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.2520.078

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 head0.073
GPT teacher head0.265
Teacher spread0.192 · 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
GenreOther

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
Published2002
Admission routes2
Has abstractyes

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