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Record W1954293794 · doi:10.1026/1616-3443/a000182

Das Vancouver Obsessional Compulsive Inventory–Revised (VOCI-R)

2013· article· de· W1954293794 on OpenAlexaboutno aff
Sascha Gönner, Johanna Schmid, Stefanie Gönner, Rainer Leonhart, Willi Ecker

Bibliographic record

VenueZeitschrift für Klinische Psychologie und Psychotherapie · 2013
Typearticle
Languagede
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsGynecologyMedicine

Abstract

fetched live from OpenAlex

Theoretischer Hintergrund: Das VOCI-R ist ein Selbstbeurteilungsinstrument zur mehrdimensionalen Messung der Schwere von Zwangssymptomen. Es deckt die wichtigsten Symptomdimensionen der Zwangsstörung ab und besitzt sehr gute psychometrische Eigenschaften. Fragestellung: Die vorliegende Studie untersucht die Kriteriumsvalidität und die diagnostische Genauigkeit der Gesamtskala und der einzelnen Subskalen des VOCI-R. Methode: Es wurden 162 Zwangspatienten anhand ihrer Selbstratings auf der Y-BOCS Symptomcheckliste unterschiedlichen Hauptsymptombereichen zugewiesen und anhand der VOCI-R Werte sowohl untereinander als auch mit 302 klinischen und 320 gesunden Kontrollpersonen verglichen. Ergebnisse: Anhand der Gesamtskala und der einzelnen Subskalen können Zwangspatienten mit unterschiedlichen Hauptsymptomen sehr zuverlässig voneinander und von klinischen und nicht-klinischen Kontrollpersonen unterschieden werden. Schlussfolgerungen: Der Einsatz des VOCI-R kann im Rahmen von Diagnostik und subtypspezifischer Therapieplanung empfohlen werden, um Zwangspatienten zuverlässig zu identifizieren und ihre behandlungsrelevanten Hauptsymptombereiche festzustellen.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.726
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.003
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0050.000
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0990.080

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 head0.029
GPT teacher head0.369
Teacher spread0.341 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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