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Enregistrement W4313539371 · doi:10.14309/ajg.0000000000002112

CME Information

2023· article· en· W4313539371 sur OpenAlexaboutno aff

Notice bibliographique

RevueThe American Journal of Gastroenterology · 2023
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueDiverse Scientific and Economic Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésComputer science

Résumé

récupéré en direct d'OpenAlex

TARGET AUDIENCE The American College of Gastroenterology's (ACG) continuing medical education (CME) efforts are designed for gastroenterologists and hepatologists, gastroenterology trainees, primary care physicians, surgeons, nurses, physician assistants, nurse practitioners, and other members of the health care team interested in the latest information on state-of-the-art concepts and practices related to pathophysiology, epidemiology, diagnosis, and treatment of adult, pediatric, and transition of care for GI and hepatologic conditions. LEARNING OBJECTIVES After continual participation in The American Journal of Gastroenterology (AJG) continuing medical education activities, the participant should be better able to: Identify and discuss complex disorders and their underlying mechanisms of disease Explain new developments and/or techniques being used in current scientific research Discuss the latest scientific findings and how this will impact patient care in the future Discuss new management and prevention strategies Summarize evidence-based practices and integrate into clinical care Describe how the information presented relates to the practice of medicine and how to effectively utilize the information AUTHOR DISCLOSURES Authors of articles selected for AJG CME have disclosed relevant financial relationships with the manufacturer(s) of any of the products or provider(s) of any of the services discussed in their article. Disclosures will appear with the article in the section labeled “Conflicts of Interest” (COI). If the authors of the article have no relationships to disclose, “none” will be listed in the COI section. JOURNAL CME AND MOC COMMITTEE/DISCLOSURES All ACG staff and all committee members involved with this activity have no relevant financial relationship(s) with ineligible companies to disclose. Srikrishna V. Patnana, MD, (Chair) Emory University, Atlanta, GA. Khadija H. Chaudrey, MD, Lahey Hospital & Medical Center, Burlington, MA. Banreet Dhindsa, MBBS, University of Nebraska Medical Center, Omaha, NE. Ahmed M. Dirweesh, MD, University of Rochester, Rochester, NY. David T. Dulaney, MD, Brooke Army Medical Center, San Antonio, TX. Ryan K. Fawley, MD, The Ohio State University, Columbus, OH. Seema R. Gandhi, MD, FACG, Cook County Health/Rush Medical College, Chicago, IL. Shilpa Grover, MD, MPH, Brigham and Women's Hospital, Boston, MA. Fady Haddad, MD, University Hospitals, Cleveland, OH. Andrew J. Han, MD, South Texas VA Hospital, San Antonio, TX. Erik A. Holzwanger, MD, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA. Nicholas A. Hoppmann, MD, Columbia VA Health Care System, Columbia, SC. Sumant Inamdar, MD, University of Arkansas for Medical Science (UAMS), Little Rock, AR. Zubair Khan, MD, Mercy Clinic Gastroenterology-Jefferson, Festus, MO. Stephen J. Lanspa, MD, FACG, Creighton University, Emeritus Professor, Las Vegas, NV. Elizabeth R. Paine, MD, FACG, G.V. (Sonny) Montgomery VA Medical Center and University of Mississippi Medical Center, Madison, MS. S. Devi Rampertab, MD, FACG, University of Florida College of Medicine, Gainsville, FL. Brett W. Sadowski, MD, Naval Medical Center, San Diego, CA. Asim Shuja, MD, University of Illinois Chicago, Chicago, IL. Jacob M. Skeans, MD, The Ohio State University Medical Center, Columbus, OH. Scott M. Smukalla, MD, NYU Grossman School of Medicine, New York, NY. Rashad C. Wilkerson, DO, US Navy, Washington, DC. Mohammad Yaghoobi, MD, FACG, McMaster University, Hamilton, ON, Canada. ACCREDITATION/CME/MOC The ACG is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. The ACG designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 Credit. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn 1 Medical Knowledge MOC point in the American Board of Internal Medicine's (ABIM) Maintenance of Certification (MOC) program. Participants will earn MOC points equivalent to the amount of CME credits claimed for the activity. It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting ABIM MOC credit. INSTRUCTIONS FOR PARTICIPATION AND CREDIT There are no fees for participating in or receiving credit for this educational activity. For information on applicability and acceptance of continuing medical education credit for this activity, please consult your professional licensing board. To successfully earn credit, participants must complete the activity online during the valid credit period. One year from the release date, tests will expire and credit will no longer be offered. Follow these steps to earn AMA PRA Category 1 Credit and MOC points: Read the target audience, learning objectives, and author disclosures. Read the article in print or online format. Reflect on the article. Access the CME Exam for the article online at http://acgjournalcme.gi.org/, choosing the best answer to each test question. All questions must be answered correctly to obtain credit. Complete the required evaluation component of the online activity, and the required fields for the creation of your CME certificate. To submit for MOC, you must FIRST complete the CME evaluation and claim your CME credit prior to accessing the MOC site. The MOC link will only be displayed AFTER the CME evaluation has been completed. If you have any questions or concerns regarding this activity, please contact the ACG at [email protected].

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)0,001
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,127
Score d'incertitude au seuil0,181

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,006
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,000
Communication savante0,0030,002
Science ouverte0,0010,003
Intégrité de la recherche0,0030,002
Charge utile insuffisante (le modèle a refusé de juger)0,8730,713

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 Opus0,021
Tête enseignante GPT0,205
Écart entre enseignants0,185 · 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; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

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

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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