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Record W4408865550 · doi:10.31027/odprn.2020.02

Preliminary patterns in circumstances surrounding opioid-related deaths in Ontario during the COVID-19 pandemic

2020· report· en· W4408865550 on OpenAlexfundaboutno aff

Bibliographic record

Venuenot available
Typereport
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchGovernment of Ontario
KeywordsCoronavirus disease 2019 (COVID-19)Pandemic2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Opioid epidemicVirologyGeographyOpioidMedicineInternal medicineOutbreakInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Opioid-related deaths across Canada have been an ongoing public health crisis for over a decade. Between January and March 2020 alone, there were 1,018 opioid-related deaths recorded in Canada, the majority of which were accidental. In the midst of this ongoing crisis, a state of emergency was declared on March 17, 2020 due to the COVID-19 pandemic. Within Ontario, the first wave of the pandemic was managed with public health restrictions to mitigate the spread of COVID-19, which included physical distancing measures that resulted in reduced capacity for pharmacies, outpatient clinics, and harm reduction sites providing care to people who use drugs. Despite the intention to reduce the impact of COVID-19, there is concern that these measures could lead to unintended harms.
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\nThis report describes the preliminary patterns in circumstances surrounding opioid-related deaths in Ontario during COVID-19. An understanding of these circumstances is urgently needed to inform interventions and policies to prevent further opioid-related mortality in the midst of this pandemic.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.326
Teacher spread0.261 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations31
Published2020
Admission routes2
Has abstractyes

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