Innovations to Address Complex Challenges: 22ndAnnual Canadian Conference on HIV/AIDS Research
Bibliographic record
Abstract
With a membership of more than 1,000 researchers and others interested in HIV research, the Canadian Association for HIV Research (CAHR) is the leading organization of HIV/AIDS researchers in Canada.The annual CAHR conference is the premier gathering in Canada for those working in the field of HIV, as well as policy makers, persons living with HIV, and other individuals committed to ending the pandemic.It is a chance to assess where we are, evaluate recent scientific developments, and together chart a course forward.This year's programme will present new scientific knowledge and offer many opportunities for structured dialogue on the major issues facing the global response to HIV.A variety of sessions such as abstract-driven presentations, symposia, and plenaries will meet the needs of various participants.Other related activities, including ancillary meetings and the New Investigator Workshop, will contribute to an exceptional opportunity for professional development and networking.CAHR 2013 will be a tremendous opportunity for researchers and community members from coast to coast to share the latest scientific advances in the field, learn from one another's expertise, and develop new ways to treat and prevent HIV.I hope you enjoy the conference, find it to be a worthwhile learning experience, and thank you in advance for your contributions, participation, and continued support.MESSAgE FROM THE CAHR pRESIDENT / MESSAgE DU pRÉSIDENT DE L'ACRV B ienvenue au 22 e Congrès canadien annuel de recherche sur le VIH/sida (congrès de l'ACRV 2013)!Comptant plus de 1 000 membres -des chercheurs et d'autres personnes s'intéressant à la recherche sur le VIH -, l'Association canadienne de recherche sur le VIH (ACRV) est un organisme canadien de premier plan se consacrant à la recherche sur le VIH/sida.Le congrès annuel de l'ACRV est l'événement le plus important au pays s'adressant aux personnes oeuvrant dans le domaine du VIH ainsi qu'aux décideurs, aux personnes vivant avec le VIH et aux autres personnes participant à la lutte contre la pandémie.Il offre une occasion de faire le point sur la situation, d'évaluer les récents progrès scientifiques et d'élaborer un plan d'action.Le congrès de cette année présentera les nouvelles connaissances scientifiques et permettra de discuter dans un cadre structuré des principaux enjeux liés à la lutte mondiale contre le VIH.Un éventail de séances telles que des présentations d'abrégés, des colloques et des séances plénières répondra aux besoins des différents participants.D'autres activités connexes, dont des réunions auxiliaires et l'atelier des nouveaux chercheurs dans le domaine du VIH, constitueront d'excellentes occasions de perfectionnement professionnel et de réseautage.À l'occasion du congrès de l'ACRV 2013, les chercheurs et les membres des collectivités d'un océan à l'autre pourront comme jamais échanger sur les plus récentes percées scientifiques, apprendre des autres et établir de nouvelles façons de traiter et de prévenir le VIH.J'espère que le congrès vous plaira et qu'il sera pour vous une expérience d'apprentissage utile.Merci d'avance pour vos contributions, votre participation et votre appui soutenu.
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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 | 0.018 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.005 | 0.010 |
| Research integrity | 0.009 | 0.014 |
| Insufficient payload (model declined to judge) | 0.034 | 0.007 |
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".