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Record W2125344087 · doi:10.1093/ije/dyl286

Cohort Profile: The North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD)

2007· article· en· W2125344087 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Epidemiology · 2007
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersNational Institute of Child Health and Human DevelopmentNational Institute of Allergy and Infectious DiseasesNational Institute of Mental HealthNational Heart, Lung, and Blood InstituteNational Cancer InstituteNational Institute on Alcohol Abuse and AlcoholismHealth Resources and Services AdministrationCanadian Institutes of Health ResearchU.S. Department of Veterans AffairsNational Institute on Drug AbuseSubstance Abuse and Mental Health Services AdministrationAgency for Healthcare Research and QualityNational Institutes of HealthStyrelsen för Internationellt UtvecklingssamarbeteCenters for Disease Control and Prevention
KeywordsArtCohortHumanitiesPhilosophyTheologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

The North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) was created as part of the International Epidemiologic Databases to Evaluate AIDS (IeDEA) initiative. The IeDEA project establishes regional centres for the collection and harmonization of data and the establishment of an international research consortium to address unique and evolving HIV/AIDS research questions requiring the larger sample sizes that can be achieved by combining multiple cohorts. The IeDEA initiative provides a means to implement methodology to effectively pool collected data, thus providing a cost-effective way to generate large data sets to address high-priority research questions in a timely manner. It is frequently difficult to combine data collected under different protocols, and may not be as efficient as collecting predetermined and standardized data elements under a single protocol. By developing a proactive mechanism for the collection of key variables, the IeDEA initiative is designed to enhance the quality, cost-effectiveness and speed of observational cohort studies pertaining to HIV/AIDS.

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)0.015
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.118
GPT teacher head0.481
Teacher spread0.363 · 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