Notice bibliographique
Résumé
Jane Maher & Gina Radford speak to Gemma Westcott, Commissioning Editor Jane Maher has been Macmillan's Chief Medical Officer since 1999 and now shares the role as Joint Chief Medical Officer with general practitioner Rosie Loftus, reflecting the growing need for specialists and generalists to work more effectively together. She has been an National Health Service (NHS) improvement clinical leader for over 10 years and is a Consultant Clinical Oncologist at Mount Vernon Cancer Centre and Hillingdon Hospital where she has worked for more than 20 years, during which she helped develop nonsurgical oncology services in five district general hospitals. She is a senior Clinical Lecturer at University College London and Visiting Professor in Cancer and Supportive Care at the Centre for Complexity Management at the University of Hertfordshire. Jane chaired the Maher Committee for the Department of Health in 1995, led the UK National Audit of Late Effects Pelvic Radiotherapy for the Royal College of Radiologists (RCR) in 2000 and, most recently, chaired the National Cancer Survivorship Initiative Consequences of Treatment work stream. She co-founded one of the first Cancer Support and Information services in the UK, winning the Nye Bevan award in 1992 and there are now more than 60 units based on this model. She is a member of the Older People and Cancer Clinical Advisory Group. She has written more than 100 published articles and is a UK representative for cancer survivorship in Europe and advises on cancer survivorship programs in Denmark and Canada. Gina Radford is Deputy Chief Medical Officer for England, a post she took up in January 2015. Prior to that, she has held a number of roles in public health, at local and regional level. Most recently she was Centre Director for Anglia and Essex for Public Health England, and as a part of that role helped lead nationally on the public health response to Ebola. She was until very recently Chair of one of the NICE public health advisory committees. She has previously worked on a number of national projects, including leading the Department of Health's response to the Shipman Enquiry, undertaking a review of specialist public health for CMO Scotland, chairing a national short life working group looking at the issue of making difficult decisions in NHS Scotland, and undertaking the evaluation of the first pilot (regional bowel cancer detection pilot) for the Be Clear on Cancer National Awareness and Early Diagnosis campaign, on behalf of the Department of Health and Cancer Research UK. Outside work, Gina is a Licensed Lay Minister in the Church of England, and is training to be ordained. She enjoys riding, walking the somewhat aging dog, reading and is the village duck warden!
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 | 0,010 | 0,030 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,007 | 0,004 |
| Communication savante | 0,015 | 0,010 |
| Science ouverte | 0,003 | 0,011 |
| Intégrité de la recherche | 0,011 | 0,014 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,040 | 0,010 |
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 ».