Notice bibliographique
Résumé
It is an honour and privilege to be the inaugural Editor-in-Chief (EIC) of the new journal Neuro-Oncology Advances (NOA). Neuro-Oncology Advances is the first open-access journal that is also an official journal of the Society for Neuro-Oncology (SNO) and European Association of Neuro-Oncology (EANO). The creation of this new journal has been a team sport, and culmination of hours of dedication and planning by various stakeholders. I am fortunate to be joined by a team of executive and associate Editors who bring the necessary experience and expertise to shape the path for this new journal. Amongst the many individuals, a few deserve special recognition, including the past president of SNO, Nino Chiocca, current president and former Editor-in-Chief of Neuro-Oncology Patrick Wen, together with current-EIC of Neuro-oncology, Ken Aldape, all of whom have been instrumental in making the vision for this new journal a reality. The journal is also a true partnership with EANO, represented by the past and current presidents, Wolfgang Wick and Martin van den Bent. Chas Haynes has with precise attention to details ensured a smooth execution in partnership with Oxford University Press. Neuro-Oncology Advances was conceptualized to meet an area of unmet need and work seamlessly with Neuro-Oncology to complement the vision, mandate and above all quality of the content material published. The field of neuro-oncology has experienced a tremendous growth in the past decade, with increasing interest in research and clinical care delivery for patients with brain tumours. There is a clear exponential rise in membership to the field and expertise being built throughout disciplines to advance neuro-oncology. Equally, the Neuro-Oncology has benefitted from this growth together with leadership to reach record high submissions and most importantly an impact factor that is competitive with reputable journals in the broader area of cancer research at 9.38. We are witnessing a transformation of the field of neuro-oncology; therefore it is timely to introduce an open-access journal. NOA will ensure that research and discoveries in the field is retained within the broader readership and community of the neuro-oncology field. NOA will serve to disseminate and raise awareness of the sound and competitive investigative work that is being done in the field that complements and advances the scope of Neuro-Oncology. NOA allows a mechanism to increase presence in areas of CNS oncology that are outside of the traditionally accepted mandates of Neuro-Oncology. NOA will commit to publications in the area of brain metastasis, as this is an area with a fast-pace changing landscape of treatment paradigms that demands a multi-disciplinary focus and recognition of the importance in advances. NOA will also include primary CNS treatment and the associated neurological complications and side effects of brain metastases. Similarly, there is a large momentum being built around research in meningiomas and other non-malignant tumours. NOA will place a stronger emphasis on non-malignant brain tumours, such as meningiomas, schwannomas, pituitary tumours, spinal and peripheral nerve tumours and many others that have traditionally not been included in the main mandate of Neuro-Oncology. Additionally, NOA will promote technological advances and innovation in surgery, radiation therapy delivery and neuro-imaging. NOA is an official partnership between SNO and EANO, where the leadership and direction is set jointly by the two societies. I am grateful to the support and recognition that Wolfgang Wick, as the deputy and executive editor representing EANO, will bring to the journal. I hope that NOA will become an invaluable resource for the field, that the readership and scientific community will endorse and patients will find useful. Furthermore, I hope that the excitement that I, the executive team and associate editors share for this journal will be adopted by you, to encourage submission of your work for publication.
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 | 0,009 | 0,035 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,002 |
| Méta-épidémiologie (sens large) | 0,005 | 0,003 |
| Bibliométrie | 0,007 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,003 |
| Communication savante | 0,013 | 0,007 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,021 | 0,025 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,030 | 0,024 |
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 ».