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Record W2783014088

Современная диагностика расстройств сексуального предпочтения (Международный опыт)

2017· article· ru· W2783014088 on OpenAlexaboutno aff
Андрей Анатольевич Ткаченко, Максим Юрьевич Каменсков, Любовь Юрьевна Демидова

Bibliographic record

VenueРоссийский психиатрический журнал · 2017
Typearticle
Languageru
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsCzechMemorandumPolitical sciencePsychologyPsychiatryMedicineCriminologyLaw
DOInot available

Abstract

fetched live from OpenAlex

This informational and analytical review elucidates the contemporary (clinical, psychophysiological, neurophysiological, psychological) approaches to diagnosing disorders of sexual preference in practical work across countries. The emphasis is placed on the experience of the United States, Canada, Great Britain and the Czech Republic. Assessment procedures, used by specialists in these countries, are compared to the organization of carrying out the differential diagnosis of sexual preference disorders in the Russian Federation. The article follows up on the International Consensus Meeting on assessment and treatment of people with problematic sexual interests and behaviors, which was held in 2017 in the Czech Republic within the framework of the Memorandum of Understanding between the V. Serbsky Federal Medical Research Centre for Psychiatry and Narcology and a number of Canadian medical and research centers.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.003
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.003

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 head0.092
GPT teacher head0.418
Teacher spread0.326 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2017
Admission routes1
Has abstractyes

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