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Enregistrement W4239518261 · doi:10.1097/ju.0000000000000595.02

Reply by Authors

2020· letter· en· W4239518261 sur OpenAlexaffabout
Hanan Goldberg, Ardalan E. Ahmad, Thenappan Chandrasekar, Laurence Klotz, Mark Emberton, Masoom A. Haider, Samir S. Taneja, Karan Arora, Neil Fleshner, Antonio Finelli, Nathan Perlis, Mark D. Tyson, Zachary Klaassen, Christopher J.D. Wallis

Notice bibliographique

RevueThe Journal of Urology · 2020
Typeletter
Langueen
DomaineMedicine
ThématiqueBladder and Urothelial Cancer Treatments
Établissements canadiensSunnybrook Health Science CentrePrincess Margaret Cancer CentreUniversity Health NetworkUniversity of TorontoLunenfeld-Tanenbaum Research InstituteHealth Sciences Centre
Organismes subventionnairesnon disponible
Mots-clésMedicine

Résumé

récupéré en direct d'OpenAlex

No AccessJournal of UrologyReview Article1 Jun 2020Reply by Authors Hanan Goldberg, Ardalan E. Ahmad, Thenappan Chandrasekar, Laurence Klotz, Mark Emberton, Masoom A. Haider, Samir S. Taneja, Karan Arora, Neil Fleshner, Antonio Finelli, Nathan Perlis, Mark D. Tyson, Zachary Klaassen, and Christopher J. D. Wallis Hanan GoldbergHanan Goldberg *Correspondence: Division of Urology, Department of Surgical Oncology, Princess Margaret Cancer Centre, 610 University Ave., Toronto, Ontario M5G 2M9Canada ( E-mail Address: [email protected] Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada Urology Department, SUNY Upstate Medical University, Syracuse, New York , Ardalan E. AhmadArdalan E. Ahmad Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada , Thenappan ChandrasekarThenappan Chandrasekar Department of Urology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania , Laurence KlotzLaurence Klotz Division of Urology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada , Mark EmbertonMark Emberton Division of Surgery and Interventional Science, University College London, London, United Kingdom , Masoom A. HaiderMasoom A. Haider Department of Medical Imaging, Princess Margaret Cancer Center, Lunenfeld-Tanenbaum Research Institute, University of Toronto, Toronto, Ontario, Canada , Samir S. TanejaSamir S. Taneja Department of Urology and Radiology, NYU Langone Health, New York, New York , Karan AroraKaran Arora Department of Urology, Mayo Clinic, Phoenix, Arizona , Neil FleshnerNeil Fleshner Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada , Antonio FinelliAntonio Finelli Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada , Nathan PerlisNathan Perlis Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada , Mark D. TysonMark D. Tyson Department of Urology, Mayo Clinic, Phoenix, Arizona , Zachary KlaassenZachary Klaassen Division of Urology, Department of Surgery, Medical College of Georgia, Augusta University, Augusta, Georgia Georgia Cancer Center, Augusta, Georgia , and Christopher J. D. WallisChristopher J. D. Wallis Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada View All Author Informationhttps://doi.org/10.1097/JU.0000000000000595.02AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Reply by Authors." The Journal of Urology, 203(6), p. 1093 References 1. : Multi-parametric magnetic resonance imaging to rule-in and rule-out clinically important prostate cancer in men at risk: a cohort study. Urol Int 2011; 87: 49. Google Scholar 2. : Cost-effectiveness of MR imaging–guided strategies for detection of prostate cancer in biopsy-naive men. Radiology 2017; 285: 157. Google Scholar No direct or indirect commercial, personal, academic, political, religious or ethical incentive is associated with publishing this article. © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue 6June 2020Page: 1093-1093 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Hanan Goldberg Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada Urology Department, SUNY Upstate Medical University, Syracuse, New York *Correspondence: Division of Urology, Department of Surgical Oncology, Princess Margaret Cancer Centre, 610 University Ave., Toronto, Ontario M5G 2M9Canada ( E-mail Address: [email protected] Equal study contribution. More articles by this author Ardalan E. Ahmad Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada Equal study contribution. More articles by this author Thenappan Chandrasekar Department of Urology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania More articles by this author Laurence Klotz Division of Urology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada More articles by this author Mark Emberton Division of Surgery and Interventional Science, University College London, London, United Kingdom Supported by the United Kingdom National Institute for Health Research UCLH/UCL Biomedical Research Centre. More articles by this author Masoom A. Haider Department of Medical Imaging, Princess Margaret Cancer Center, Lunenfeld-Tanenbaum Research Institute, University of Toronto, Toronto, Ontario, Canada More articles by this author Samir S. Taneja Department of Urology and Radiology, NYU Langone Health, New York, New York More articles by this author Karan Arora Department of Urology, Mayo Clinic, Phoenix, Arizona More articles by this author Neil Fleshner Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada More articles by this author Antonio Finelli Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada More articles by this author Nathan Perlis Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada More articles by this author Mark D. Tyson Department of Urology, Mayo Clinic, Phoenix, Arizona More articles by this author Zachary Klaassen Division of Urology, Department of Surgery, Medical College of Georgia, Augusta University, Augusta, Georgia Georgia Cancer Center, Augusta, Georgia More articles by this author Christopher J. D. Wallis Urology Division, Surgical Oncology Department, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, Ontario, Canada More articles by this author Expand All No direct or indirect commercial, personal, academic, political, religious or ethical incentive is associated with publishing this article. Advertisement PDF downloadLoading ...

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,040
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,082
Score d'incertitude au seuil0,274

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,040
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,002
Communication savante0,0050,006
Science ouverte0,0020,003
Intégrité de la recherche0,0190,023
Charge utile insuffisante (le modèle a refusé de juger)0,0820,065

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.

Tête enseignante Opus0,022
Tête enseignante GPT0,280
Écart entre enseignants0,258 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2020
Routes d'admission2
Résumé présentoui

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