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Record W3038500363 · doi:10.1097/yct.0000000000000713

Electroconvulsive Therapy and Triaging During Reduced Access and the COVID-19 Pandemic

2020· article· en· W3038500363 on OpenAlex
Michael L Demas

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Ect · 2020
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsGrey Nuns Community Hospital
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Electroconvulsive therapy2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicPsychiatryMedicineWeb siteGrey literatureUniversity hospitalMEDLINELibrary sciencePsychologyFamily medicinePolitical scienceThe InternetInternal medicineWorld Wide WebVirologyComputer scienceLaw

Abstract

fetched live from OpenAlex

From the Psychiatry ECT Program, Grey Nuns Community Hospital, Edmonton, Alberta, Canada. Received for publication April 14, 2020; accepted June 21, 2020. Reprints: Michael L. Demas, MD, Associate Clinical Professor of Psychiatry ECT Program, Unit 17, Rm 1759, Grey Nuns Community Hospital, 1100 Youville Dr W, NW, Edmonton, Alberta, Canada, T6L 5X8 (e-mail: [email protected]). The authors have no conflicts of interest or financial disclosures to report. Supplemental digital contents are available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's Web site (www.ectjournal.com).

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.107
GPT teacher head0.370
Teacher spread0.263 · 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