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Record W3195998527 · doi:10.1037/cou0000579

Anxious attachment improves and is predicted by anxiety sensitivity in internet-based, guided self-help cognitive behavioral treatment for panic disorder.

2021· article· en· W3195998527 on OpenAlexaff
Dina Zalaznik, Asher Y. Strauss, Asala Halaj, Isaac Fradkin, David Daniel Ebert, Gerhard Andersson, Jonathan D. Huppert

Bibliographic record

VenueJournal of Counseling Psychology · 2021
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsCentre for Movement Disorders
FundersIsrael National Institute for Health Policy Research
KeywordsPanic disorderPsychologyAnxiety sensitivityPanicAnxietyPsycINFOClinical psychologyAnxiety disorderAttachment theoryCognitive behavioral therapyLongitudinal studyAgoraphobiaDevelopmental psychologyPsychiatryMEDLINE

Abstract

fetched live from OpenAlex

= 0.15 [0.02, 0.46]; however, pretreatment level of avoidant attachment in ICBT was similar to the nonclinical sample. Also counter to our hypotheses, agoraphobic avoidant behaviors when alone did not predict changes in anxious attachment. These results suggest that anxious attachment can improve in ICBT for panic disorder even though the focus of the treatment is not on interpersonal relationships. These changes appear to follow changes in anxiety sensitivity. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.041
GPT teacher head0.424
Teacher spread0.383 · 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.

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

Citations9
Published2021
Admission routes1
Has abstractyes

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