Notice bibliographique
Résumé
I n parallel with the Consensus Development Conference on Management of Chronic Hepatitis B, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) of the National Institutes of Health (NIH) held the initial organizational steering committee meeting of the Hepatitis B Research Network.The establishment of this network was the centerpiece of a large initiative in hepatitis B that was directed at making progress in the understanding, prevention, and control of this important liver disease.This initiative was the result and a part of the Trans-NIH Action Plan for Liver Disease Research (http://liverplan.niddk.nih.gov) that was published in December 2004 and laid out a series of specific research goals for liver disease research for the next 10 years.The Action Plan represented the collective efforts of more than 250 individuals including liver research investigators, academicians, practicing physicians, researchers and representatives from industry, NIH staff, and lay advocates who worked together to prioritize liver disease research goals.The research goals were directed at specific advances that would translate into substantial improvement in the understanding, prevention, and treatment of liver diseases.Within this report, key research priorities for hepatitis B research were given in the chapter on viral hepatitis, many of which still remain incompletely resolved.To help meet these goals, the NIH sponsored this 2008 Consensus Development Conference on Management of Hepatitis B, but also set into motion a prospective clinical research network of investigators charged with the mission to provide new insights into the pathogenesis of hepatitis B and help define the most appropriate therapy of this disease in its multiple clinical forms and in the different populations that it affects.The creation of a Hepatitis B Research Network was announced in a Request for Applications published in October 11, 2007 using a cooperative agreement (U01) grant mechanism.Grant applications for clinical centers, research cores, and a Data Coordinating Center were received by February 27, 2008, reviewed on July 10-11, 2008, and awarded on September 30, 2008, in time for the initial, organizational meeting of the network to be held at the time of the NIH Consensus Conference.Organizationally, the network is composed of 13 Clinical Centers with expertise in the diagnosis, management, and treatment of chronic hepatitis B; one Data Coordinating Center to provide statistical, protocol, and logistical support for the network; and an Immunology Core to investigate immune factors that are important in hepatitis B. The network will also be supported by a virology testing core and a specimen repository.The NIDDK has committed $45 million over 7 years toward this endeavor.The 13 Clinical Center Principal Investigators (and some sites with multiple Coinvestigators) in alphabetical order are:•
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,014 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,097 | 0,060 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».