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Record W2731428557 · doi:10.1017/ipm.2017.19

Telepsychiatry in Asperger’s syndrome

2017· article· en· W2731428557 on OpenAlexaff
Ciaran Clarke

Bibliographic record

VenueIrish Journal of Psychological Medicine · 2017
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsTelepsychiatryPsychologyAutismAsperger syndromePsychiatryAutism spectrum disorderSocial isolationIsolation (microbiology)PsychotherapistThe InternetMental healthMedicineClinical psychologyTelemedicineHealth careBioinformatics

Abstract

fetched live from OpenAlex

BACKGROUND: Internet technology offers psychiatrists new opportunities for remote interaction with patients. It also raises issues regarding therapeutic effectiveness, safety, technical problems and possibilities for overcoming them, and matters related to specific mental health problems such as autism. The case presented concerns an adolescent male with severe social impairment and isolation as manifestations of Aspergers syndrome. METHODS: The patient was accepted contact with psychiatric services through telepsychiatry, which enabled initial assessment and the development of a therapeutic relationship. RESULTS: In due course the patient was able to attend the clinic in person. He became somewhat reconciled to his family. With appropriate adaptations he was able to resume his education and career. CONCLUSIONS: Telepsychiatry shows promise in engaging with patients with autism spectrum disorders. As experience accrues, there is some evidence that it is safe and effective. Adaptations to traditional clinical psychotherapy may be required.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.155
GPT teacher head0.450
Teacher spread0.295 · 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

Citations9
Published2017
Admission routes1
Has abstractyes

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