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Record W4367595703 · doi:10.1016/s2215-0366(23)00111-6

Vaccine effectiveness of BNT162b2 and CoronaVac against SARS-CoV-2 omicron infection and related hospital admission among people with substance use disorder in Hong Kong: a matched case-control study

2023· article· en· W4367595703 on OpenAlexaff
Caige Huang, Yue Wei, Vincent Ka Chun Yan, Xuxiao Ye, Wei Kang, Hei Hang Edmund Yiu, Jessica J. P. Shami, Benjamin J. Cowling, ML Tse, David Castle, Celine Sze Ling Chui, Francisco Tsz Tsun Lai, Xue Li, Eric Yuk Fai Wan, Carlos King Ho Wong, Joseph Hayes, Wing Chung Chang, Albert K. Chung, Chak Sing Lau, Ian Chi Kei Wong, Esther W. Chan

Bibliographic record

VenueThe Lancet Psychiatry · 2023
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsCentre for Addiction and Mental HealthUniversity of Toronto
FundersHealth and Medical Research FundMedical Research CouncilSanofi PasteurSeqirusGlaxoSmithKlineHong Kong GovernmentH. Lundbeck A/SServierEuroQol Research FoundationInnovation and Technology CommissionNational Natural Science Foundation of ChinaNational Institute for Health and Care ResearchUniversity College LondonWellcome TrustEuropean CommissionImpact FundSanofiUniversity of Hong KongAmgenFood and Health BureauPfizerNational Health and Medical Research CouncilAstraZenecaUK Research and InnovationBristol-Myers Squibb
KeywordsMedicineVaccinationSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)Infection controlPopulationPediatricsPsychiatryInternal medicineIntensive care medicineDiseaseImmunologyEnvironmental health

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.306
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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations20
Published2023
Admission routes1
Has abstractno

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