Notice bibliographique
Résumé
The Maharashtra State Branch of the Indian Radiological and Imaging Association (MSBIRIA) and the Maharashtra College of Radiology (MCR) proudly present to you the first issue of the “Journal of Applied and Clinical Radiology.” This inaugural issue marks the beginning of a significant chapter in our shared journey to advance the field of radiology, offering a platform that supports innovation, fosters professional growth, and disseminates valuable knowledge. The journal is published at a very crucial time when the practice of radiology is undergoing a great change, with advances in technology and increasing knowledge about disease processes. The main aim of this journal is to offer a forum for radiologists, researchers, and medical students a free platform to share their original research, case reports, and reviews in radiology. It is an attempt to close the gap between academic research and clinical practice to foster evidence-based practice and ongoing professional development among members of the radiological community that improves patient care. In this inaugural issue, we are delighted to showcase articles submitted by the radiology community that challenge the edges of prevailing wisdom, such as in-depth case reports and case series with intricate clinical presentations and novel insights into the imaging findings. Every article has gone through a rigorous peer-review process to establish that it is of the highest academic integrity and clinical usefulness. The challenge of starting this new academic venture stems from keeping up with new technology and meeting the timeline for publication. Confronting these challenges through continuous learning, teamwork, and support systems, we set off on this new academic adventure with publication partner Wolters Kluwer/Medknow. The release of this journal would be impossible without giving credit to the senior radiology fraternity, Dr. Sandeep Kavthale, president elect IRIA, and all MSBIRIA members for trusting me and assigning me this herculean task of setting up this journal. Dr. Pradeep Gandhi, Dr. Pravin Sagole, Prof. Dr. Shailesh Sangani, and the MSBIRIA and MCR teams to actively encourage the launch of this new academic platform for the radiologists. It needs a lot of effort and complete dedication from day 1 of ideating the journal to narrowing its scope and standard and making this dream a reality. It is through the commitment of authors, reviewers, members of the editorial board, and the publication team that we were able to bypass these obstacles and make this dream a reality. In addition, we understand that the success of this journal is dependent on ongoing improvement. Going forward, we are committed to making the processes and content of the journal better, guided by your feedback and needs as readers. Your participation is important, and we invite you to read and gain from the research shared and contribute your work and thoughts. As we begin this endeavor, I offer our sincerest thanks to all who have worked towards making this vision a reality. If I have inadvertently forgotten to mention anyone, then it must be regarded as my fault, and I wholeheartedly apologize. We invite you to engage actively with this publication, share your perspectives, and participate in shaping a future where radiology continues to grow and thrive. Together, let us overcome challenges, support one another, and drive the field toward greater achievements. With best wishes, Dr. Anand Hatgaonkar Editor in Chief, JAACR, Professor & HOD Radiodiagnosis, Datta Meghe Medical College, Nagpur.
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 | 0,040 | 0,068 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,006 | 0,003 |
| Études des sciences et des technologies | 0,007 | 0,029 |
| Communication savante | 0,045 | 0,048 |
| Science ouverte | 0,005 | 0,014 |
| Intégrité de la recherche | 0,024 | 0,042 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,009 |
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 ».