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Record W2034179937 · doi:10.1089/109493100420214

A Sex-Expert System on the Internet: Fact or Fantasy

2000· article· en· W2034179937 on OpenAlexafffund
Eric P. Ochs, Yitzchak M. Binik

Bibliographic record

VenueCyberPsychology & Behavior · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsRoyal Victoria HospitalRoyal Ottawa Mental Health CentreMcGill UniversityMontreal Children's Hospital
FundersHealth CanadaNatural Sciences and Engineering Research Council of CanadaMedical Research Council Canada
KeywordsThe InternetFantasyPsychologyInternet privacyMedical educationMedicineComputer scienceWorld Wide WebArtificial intelligence

Abstract

fetched live from OpenAlex

Fifteen years ago we proposed that the diagnosis and treatment of sexual and other problems could be delivered in a professional and expert manner using personal computers. We programmed a sex-expert diagnostic and treatment system and tested it on several hundred individuals and couples in the laboratory, as well as on a pre-Internet regional computer network. Although the results of our studies were very encouraging, a lack of scientific interest at the time prevented further research being undertaken. Recently, the growth of the Internet has lead to the development and use of a number of online approaches to the delivery of psychotherapeutic services in general, and of some new approaches to sex therapy in particular. However, a number of scientific and professional issues need to be investigated if the public health potential of the provision of online psychotherapy services is to be realized.

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)0.009
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 score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0020.005
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.040
GPT teacher head0.364
Teacher spread0.324 · 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

Citations6
Published2000
Admission routes2
Has abstractyes

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