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Record W35465265 · doi:10.1159/000468136

Treatment of Intractable Depression

2017· article· en· W35465265 on OpenAlex
J. Ananth, R. Ruskin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Pharmacopsychiatry · 2017
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsSt Mary's Hospital Centre
Fundersnot available
KeywordsMedicineDepression (economics)Refractory (planetary science)Electroconvulsive therapyPsychiatryPharmacotherapyAntidepressantIntensive care medicineSchizophrenia (object-oriented programming)Anxiety

Abstract

fetched live from OpenAlex

Depression is a frequently encountered psychiatric disorder. Current methods of treatment of these syndromes range from psychotherapy, pharmacotherapy, electroconvulsive therapy and in severe refractory cases, lobotomy. Despite the usefulness of all these methods, 10-28 % of the depressed patients remain refractory to treatment (Bratfos and Haug, 1968; Greenblatt et al, 1964; Smith et al, 1969). As suicide is a relatively high risk in depressed patients, refractory patients may run even higher risk. Hence, various workers have attempted to enhance the antidepressant effects of medications by different techniques. As the basis of all these techniques remain hypothetical at this time, the conclusive evidence of the effectiveness of these methods can come from the clinical application of these techniques by the physicians in treating their intractable, depressed patients.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

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

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 head0.024
GPT teacher head0.394
Teacher spread0.369 · 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