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Record W2098766699 · doi:10.1093/ije/dyr230

Cohort Profile: The Ontario HIV Treatment Network Cohort Study (OCS)

2012· article· en· W2098766699 on OpenAlexafffundabout
Sean B. Rourke, Sandra Gardner, Ann N. Burchell, Janet Raboud, Sergio Rueda, Ahmed M. Bayoumi, Mona Loutfy, Curtis Cooper, Marek Smieja, Dominic Taylor, T. DiPede, Wendy Wobeser, C Major, V. Waring, Mark Fisher, John Cairney, Nicole Mittmann, Irving E. Salit, Fred Crouzat, Kevin Gough, Edward D. Ralph, Roger Sandre, D. Kilby, Anita Rachlis

Bibliographic record

VenueInternational Journal of Epidemiology · 2012
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsOntario HIV Treatment NetworkSunnybrook Health Science Centre
FundersCanadian Institutes of Health ResearchInstitute for Clinical Evaluative Sciences
KeywordsCohortPsychosocialMedicineFamily medicineCohort studyHuman immunodeficiency virus (HIV)Medical recordGerontologyPsychiatrySurgeryPathology

Abstract

fetched live from OpenAlex

The Ontario HIV Treatment Network Cohort Study (OCS) is an observational, open dynamic cohort of people who are receiving medical care for human immunodeficiency virus (HIV) infection in Ontario, Canada. Established in the mid-1990s, the OCS has its roots in AIDS activists' demands for research that would improve the quality of life of people living with HIV while respecting their privacy. It is a collaborative and community-driven study, including a Governance Committee made up of people with HIV and other stakeholders that evaluates analysis project proposals for community relevance and ethics. From 1995 to 2010, a total of 5644 participants were enrolled and 27,720 person-years of observation were accumulated; follow-up will continue until at least 2015. In the initial years of study, the focus was on clinical data from medical chart reviews. It has since evolved into a comprehensive study that collects extensive de-identified information on clinical, laboratory and psychosocial and behavioural measures based on medical chart abstractions, interviews using a standardized questionnaire and linkage with external administrative health databases in Ontario. Interested collaborators are encouraged to submit analysis project proposals as instructed on the study website (www.ohtncohortstudy.ca).

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.026
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.077
GPT teacher head0.422
Teacher spread0.345 · 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

Citations85
Published2012
Admission routes3
Has abstractyes

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