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Record W2803787921 · doi:10.1159/000489538

International Task Force on Benzodiazepines

2018· editorial· en· W2803787921 on OpenAlexaff
Richard Balon, Guy Chouinard, Fiammetta Cosci, Steven Dubovsky, Giovanni A. Fava, Rafael C. Freire, David J. Greenblatt, John H. Krystal, Antônio Egídio Nardi, Karl Rickels, Thomas Roth, Carl Salzman, Richard I. Shader, Edward Silberman, Nicoletta Sonino, Vladan Starčević, Steven J. Weintraub

Bibliographic record

VenuePsychotherapy and Psychosomatics · 2018
Typeeditorial
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsMcGill University
Fundersnot available
KeywordsTask forcePsychologyTask (project management)PsychotherapistMedicineEngineering

Abstract

fetched live from OpenAlex

Position paper of a panel of experts in a ppropriate prescription of benzodiazepines

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)0.018
metaresearch head score (Gemma)0.063
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.024
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.063
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0050.002
Science and technology studies0.0030.003
Scholarly communication0.0080.005
Open science0.0040.002
Research integrity0.0240.026
Insufficient payload (model declined to judge)0.0110.009

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 head0.016
GPT teacher head0.350
Teacher spread0.334 · 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
GenreEditorial

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

Citations34
Published2018
Admission routes1
Has abstractyes

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