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Record W4405568546 · doi:10.3138/jammi-9-4-ed

Why randomized controlled trials are necessary to address the effectiveness of non-pharmacological interventions during a public health emergency such as COVID-19

2024· editorial· en· W4405568546 on OpenAlexaffvenue
Mark Loeb, Dominik Mertz, Zain Chagla, John Conly

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2024
Typeeditorial
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsUniversity of CalgaryMcMaster University
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Randomized controlled trialPsychological interventionMedicinePublic health2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicPublic health interventionsMedical emergencyIntensive care medicineNursingVirologyInternal medicineOutbreakDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

MOTS-CLÉS : pandémie,

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.081
metaresearch head score (Gemma)0.250
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.919
Threshold uncertainty score0.429

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0810.250
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0100.007
Bibliometrics0.0040.003
Science and technology studies0.0030.007
Scholarly communication0.0110.009
Open science0.0070.002
Research integrity0.0350.047
Insufficient payload (model declined to judge)0.0090.005

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 head0.029
GPT teacher head0.403
Teacher spread0.374 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
DomainMethods
GenreEditorial

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

Citations1
Published2024
Admission routes2
Has abstractno

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