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Record W2988493512

인지장애 변증평가도구의 신뢰도와 타당도 평가: 임상연구 프로토콜

2018· article· ko· W2988493512 on OpenAlexaboutno aff
이지윤, 김환, 서영경, 강형원, 강위창, 정인철

Bibliographic record

Venue동의신경정신과학회지 · 2018
Typearticle
Languageko
FieldMedicine
TopicHealthcare and Venom Research
Canadian institutionsnot available
Fundersnot available
KeywordsClinical Dementia RatingObservational studyMontreal Cognitive AssessmentDementiaNeurocognitiveMedicineReliability (semiconductor)CognitionRating scaleClinical trialPsychologyPsychiatryFamily medicineClinical psychologyCognitive impairmentDiseaseInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Objectives: The objective of this study was to evaluate the reliability and validity of Pattern Identifications Tool for Cognitive Disorders (PIT-C) and verify the correlation with other related scales. Methods: The study in this protocol is a single group, prospective, observational one. The subjects of the study were men and women between the ages of 45 and 85, diagnosed with neurocognitive disorders by Diagnostic and Statistical Manual of Mental Disorder (fifth Edition) criteria (n=60, Clinical Dementia Rating (CDR)=0.5, Korean Version of Montreal Cognitive Assessment (MoCA-K)≤22). The reliability of PIT-C was evaluated as test-retest and inter-rater reliability. And correlation between PIT-C and other related scales was also assessed. Results: This study was approved by the Institutional Review Board (IRB) of Dunsan Korean Medicine Hospital of Daejeon University and registered in the Clinical Research Information Service (CRIS), and was made public in advance to ensure transparency of the research process and conduct ethical clinical trials. Conclusions: The results of this study can be used to classify neurocognitive disorders as Korean medicine and PIT-C will be helpful tool for primary health care.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.033

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 head0.130
GPT teacher head0.479
Teacher spread0.349 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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