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Record W4239001102 · doi:10.3238/arztebl.2013.0144b

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2013· letter· de· W4239001102 on OpenAlexaboutno aff
Jens T. Kowalski

Bibliographic record

VenueDeutsches Ärzteblatt international · 2013
Typeletter
Languagede
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMEDLINEFamily medicine

Abstract

fetched live from OpenAlex

The authors addressed a topic of increasing relevance. In this context we wish to mention a treatment option for posttraumatic stress disorder (PTSD) that is mostly not known in Germany: (self) medication with cannabis products. In North America, countries in the Balkans, and countries in the Middle East, this form of treatment is widespread. In Rhode Island (US), some 40% of all 4300 state-registered patients consuming cannabis were recommended cannabis treatment for PTSD by their doctors. The supreme court of law in Croatia decided in 2009 that war veterans were legally allowed to use cannabis. According to an observational study from Israel that was presented in 2011, cannabis has a relevant therapeutic benefit in the treatment of PTSD. In a clinical study from Canada, the cannabinoid nabilone reduced nightmares and flashbacks (1). A case report from Germany (2) describes a patient in whom severe uncontrolled flashbacks, panic attacks, and selfharm owing to severe PTSD notably improved as a result of self-treatment with cannabis products. We can assume that very few patients with PTSD actually report their self-medication to their treating physicians.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.457
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0410.023

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 head0.021
GPT teacher head0.310
Teacher spread0.288 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2013
Admission routes1
Has abstractyes

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