Pourquoi ce travail est dans la base
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Notice bibliographique
Résumé
Once again, we offer our sincere gratitude to our dedicated peer reviewers who validate the true measure of a professional. They contribute to our knowledge-based profession in a unique way. Peer reviewers donate their time and expertise as unpaid volunteers who balance work-life responsibilities exceptionally well. This group of experts guide our authors and helps our journal maintain a level of excellence. Michael D. Aldridge, MSN, RN, CNS, CNE, Austin, Texas Katherine Alford, MSN, RN, CCRN, PCCN, San Antonio, Texas Linda Baas, PhD, RN, ACNP, CCNS, Harrison, Ohio Stefano Bambi, PhD, RN, CCN, Florence, Italy Cathy Bays, PhD, RN, Louisville, Kentucky Ashley Blatchley, MSN, RN, CNML, Portland, Oregon Leanne Boehm, PhD, RN, ACNS-BC, Nashville, Tennessee Shannon Johnson Bortolotto, MS, RN, Aurora, Colorado Helene Bowen-Brady, DNP, MEd, RN-BC, NEA-BA, Walpole, Massachusetts Emmanuele Buccione, MScN, Pescara, Italy Melissa Burton, RN, CCRN, Boston, Massachusetts Glen Carlson, MSN, RN, Kalamazoo, Michigan Rose Constantino, PhD, JD, RN, FAAN, FACFE, Pittsburgh, Pennsylvania Kathleen Costello, BSN, RN, Boston, Massachusetts Jeni Colarusso, BSN, RN, CCRN-K, Salt Lake City, Utah Rhonda Cornell, DNP, APRN, CNP, Mankato, MN Janet T. Crimlisk, DNP, RNCS, NP-C, Boston, Massachusetts Sherill Cronin, PhD, RN, BC, Louisville, Kentucky Kimberly Curtin, DNP, APRN, Houston, TX Brigitte S. Cypress, EdD, RN, CCRN, Pocono Summit, Pennsylvania Jenna Davis, PhD, RNC-NIC, York, Pennsylvania Julianne Evers, DNP, RN, APRN, AGACNP-BC, Louisville, Kentucky Anna Christine Fisk, PhD, RN, Boston, Massachusetts Kathleen Ahern Gould, PhD, RN, Duxbury, Massachusetts Angelica Nicolina Ferrazzi, DNP, MSN, RN-BC, CMSRN, Washington, DC Judy M. Hayes, MSN, RN, NEA-BC, Boston, Massachusetts Kathleen Haubrich, PhD, RN, Hamilton, Ohio Elizabeth K. Herron, PhD, RN, CNE, Harrisonburg, Virginia Cheryl Hines, EdD, MSN, CRNA, Tuscaloosa, Alabama Rosemary Hoffman, PhD, RN, Pittsburgh, Pennsylvania Bonnie Holaday, DNS, RN, FAAN, Clemson, South Carolina Susan Hurst, MSN, RN, CCRN, CNRN, Phoenix, Arizona Jen Hershey, DEd, MSN, RN, CNE, Lancaster, Pennsylvania Chad Johnson, MSN, RN, Thunder Bay, Ontario, Canada Melissa Bailey Johnson, MSN, RN, Philadelphia, Pennsylvania Linda Jean Josephson, MS, RN, Worcester, Massachusetts Linda Kramer, MSN, RN, CCRN, Louisville, Kentucky Kholoud Khalil, PhD, RN, CCRN, Long Beach, California Stacy Kram, MS, RN, Queen Anne, Maryland Ann Harrington Lalor, BSN, RN, Tacoma, Washington Jennifer Lanter, MSPH, RN, Columbus, Ohio A. Renee Leasure, PhD, RN, CCRN, Oklahoma City, Oklahoma Judith Lindsay, PhD, RN, Round Rock, Texas Robin Lockhart, MSN, RN, Wichita Falls, Texas Alberto Lucchini, RN, Monza, Italy Marta Makielski, MN, RN, CCRN Alumnus, South Bend, Indiana Mary E. Mather, MSN, RN, Castroville, Texas Jen Manganello, MSN, RN, ACNP-BC, Farmington, New Mexico Maximino Martell, Madisonville, Los Angeles Virginia Mason, PhD, RN, Milton, Massachusetts Natalie Susan McAndrew, PhD, MSN, Milwaukee, Wisconsin Colleen McCracken, MSN, RN, CMSRN, CHPN, OCN, Milwaukee, Milton, Wisconsin Vickie A. Miracle, EdD, RN, CCRC, Louisville, Kentucky Angela Wang Nguyen, MSN, AGACNP-BC, CCRN, Philadelphia, Milton, Pennsylvania Sharon C. O'Donoghue, DNP, RN, Boston, Massachusetts Ricardo Padilla, PhD, MSN, RN, San Diego, California Mauro Parozzi, PhD, MSN, RN, Milan, Italy Barbara Phelan, PhD, MSN, RN, Bethany, Connecticut Darlene Petersen, MSN, RN, CCRN, CCNS, Gulfport, Mississippi Kelly Powers, PhD, RN, Charlotte, North Carolina Donna Pineau, PhD, RN, CNE Duxbury, Massachusetts Carmen Rosa Presti, DNP, APRN, ACNP-BC, Coral Gables, Milton, Florida Ellen Redick, MSN, MEd, RN, CNA, CPHQ, Miami, Florida Ruthie Robinson, PhD, RN, FAEN, CNS, CEN, Beaumont, Texas Patricia Reilly, MSN, RN, Centerville, Milton, Massachusetts Lisa Ruth-Sahd, DEd, RN, CEN, CCRN, York, Pennsylvania Erica Sciarra, DNP, RN, APN-C, CCRN, Howell, New Jersey Amanda Shrout, MSN, RN, CCNS, CEN, Lancaster, Pennsylvania Gayle Sturgis, RN, Paul's Valley, Oklahoma Nancy Steffan, PhD, RN, CCRN, CRNP, Lewisville, North Carolina Marion Taylor, MSN, RN, FNP-BC, Los Angeles, California Linda Teplitz, PhD, RN, CCRN, Palos Park, Illinois Carolyn Tennyson DNP, ACNP-BC, AACC, CHSE, Durham, North Carolina Elizabeth Thompson, MBA, BSN, RN, CCRN, Lancaster, Pennsylvania K. Renee Twibell, PhD, RN, Muncie, Indiana Patricia Tuite, MSN, RN, CCRN, Pittsburgh, Pennsylvania Linda Weston Tuttle, MSN, RN, CCRN, Louisville, Kentucky Reba A. Umberger, PhD, RN, CCRN-K, Memphis, Tennessee Mary Lou Warren, DNP, RN, Houston, Texas David Woodruff, PhD, APRN, CEN, CCRN-K, FNAP, Downers Grove, Illinois John J. Whitcomb, PhD, RN, CCRN, FCCM, Clemson, South Carolina Marlot Wigginton, MN, RN, ARNP, CCRN, CCNS, Louisville, Kentucky Paula Wolski, MSN, RN-BC, Boston, Massachusetts Nancy York, PhD, RN, Louisville, Kentucky We continue to support all professionals who wish to learn more about the peer-review process. Wolters Kluwer offers engaging and comprehensive training programs for nurses who would like to become a peer reviewer. The courses are also useful for experienced reviewers who would like to extend and update their skills. The course can be accessed at https://wkauthorservices.editage.com/peer-reviewer-training-course/. This site, sponsored by Wolters Kluwer, offers a basic and advanced course; the basic course is free to all users and includes the following: Three-hour interactive e-learning course (6 modules), including videos and quizzes Discussion forum for Q&A Downloadable peer-review report template Downloadable tools and checklists for different stages of reviewing Methodology and statistics reviewing guide by expert peer reviewers Advanced tips to boost your stature. Practice review assignment with assessment and feedback from course faculty Certificate of completion
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.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,036 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 découle