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Record W3114735216 · doi:10.15585/mmwr.mm695152e2

The Advisory Committee on Immunization Practices’ Updated Interim Recommendation for Allocation of COVID-19 Vaccine — United States, December 2020

2020· article· en· W3114735216 on OpenAlexfundno aff
Kathleen Dooling, Mona Marin, Megan Wallace, Nancy McClung, Mary E. Chamberland, Grace M. Lee, H. Keipp Talbot, José R. Romero, Beth P. Bell, Sara E. Oliver

Bibliographic record

VenueMMWR Morbidity and Mortality Weekly Report · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsnot available
FundersBiomedical Advanced Research and Development AuthorityWake Forest School of MedicineResearch Institute, Nationwide Children's HospitalUniversity of California, Los AngelesPublic Health AgencyNorthwell HealthMarshfield Clinic Research InstituteNationwide Children's HospitalU.S. Department of DefenseMinnesota Department of HealthGeorge Washington UniversityStrongSaint Louis UniversityKaiser PermanenteEmory UniversityAmerican Pharmacists AssociationCouncil of State and Territorial EpidemiologistsPublic Health Agency of CanadaNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsMedicineInterimVaccinationImmunizationAdvisory committeePopulationEnvironmental healthPandemicFamily medicineEpidemiologyHealth careCoronavirus disease 2019 (COVID-19)DiseaseVirologyImmunologyInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

be offered COVID-19 vaccination first, in Phase 1a of the vaccination program (2). On December 20, 2020, ACIP recommended that in Phase 1b, vaccine should be offered to persons aged ≥75 years and frontline essential workers (non-health care workers), and that in Phase 1c, persons aged 65-74 years, persons aged 16-64 years with high-risk medical conditions, and essential workers not recommended for vaccination in Phase 1b should be offered vaccine.** These recommendations for phased allocation provide guidance for federal, state, and local jurisdictions while vaccine supply is limited. In its deliberations, ACIP considered scientific evidence regarding COVID-19 epidemiology, ethical principles, and vaccination program implementation considerations. ACIP's recommendations for COVID-19 vaccine allocation are interim and might be updated based on changes in conditions of FDA Emergency Use Authorization, FDA authorization for new COVID-19 vaccines, changes in vaccine supply, or changes in COVID-19 epidemiology.

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)0.035
metaresearch head score (Gemma)0.086
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.086
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0040.002
Research integrity0.0140.020
Insufficient payload (model declined to judge)0.0290.018

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 head0.108
GPT teacher head0.394
Teacher spread0.286 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
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

Citations438
Published2020
Admission routes1
Has abstractyes

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