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Record W2953886212

알버타 영아 운동 척도(Alberta Infant Motor Scale)의 측정자간 신뢰도

2010· article· ko· W2953886212 on OpenAlexaboutno aff
김미선, 이혜진

Bibliographic record

Venuenot available
Typearticle
Languageko
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsIntraclass correlationInter-rater reliabilityReliability (semiconductor)Scale (ratio)PsychologyPhysical therapyMotor skillMedicinePhysical medicine and rehabilitationDevelopmental psychologyPsychometricsRating scaleGeographyCartography
DOInot available

Abstract

fetched live from OpenAlex

The present study aimed at investigating the interater reliability of Alberta Infant Motor Scale (AIMS) used for evaluation of infants in Korea. Subjects 20 infants were evaluated to investigate the reliability for the AIMS. Subjects were 11 boys and 9 girls aged 2 to 16 months. Methods Three licensed physical therapists as raters, who have 1, 5 and 15 years of clinical experience respectively in infant motor development administered AIMS to a subject at the same time. Results Intraclass correlation coefficients (ICCs) for interrater reliability of measurements obtained with the AIMS were high (ICC=.997). Conclusion The results suggest that measurements obtained with the AIMS for Korean infants have acceptable reliability.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.239
Teacher spread0.232 · 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 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

Citations0
Published2010
Admission routes1
Has abstractyes

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