Pandemic Influenza is a Strong Motivator for Participation in Vaccine Clinical Trials among HIV-positive Canadian Adults
Bibliographic record
Abstract
Institute of origin: Dalhousie University, Halifax, Nova Scotia 1Canadian Center for Vaccinology, Dalhousie University, Halifax, Nova Scotia; 2The Ottawa Hospital, Ottawa, Ontario; 3Canadian HIV Trials Network; 4Saint Mary’s University Department of Psychology; 5Department of Medicine Division of Infectious Diseases, Nova Scotia Correspondence: Dr Shelly McNeil, Division of Infectious Diseases, Room 5014 Dickson Building, 5820 University Avenue, Dalhousie University, Halifax, Nova Scotia B3H 1V7. Telephone 902-473-8477, fax 902-473-7394, e-mail shelly.mcneil@chda.nshealth.ca Persons with HIV represent an important population of immunosuppressed patients. In the event of influenza pandemic, such as the current 2009 swine-origin H1N1 strain, it will be important to ensure protection of this group through immunization and, thus, rapid implementation of trials to evaluate candidate pandemic influenza vaccines in this population will be critical. HIV infection may predispose individuals to increased susceptibility to both seasonal and pandemic influenza. Indeed, up to 40% of all febrile respiratory illnesses in HIV-positive patients are attributable to seasonal influenza (1). Moreover, the estimated rate of influenza-related death in persons with AIDS is 9.4 to 14.6 deaths/1000 patients – approximately double the rate in the general population (2). Several studies have demonstrated that seasonal influenza vaccination is orIgInal artICle
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".