Correcting the record on NCRG‐funded research
Notice bibliographique
Résumé
We are writing to respond to an editorial in Addiction 1 that made reference to the National Center for Responsible Gaming (NCRG) and its research grants program. The editorial is misleading, as it provides a mischaracterization of our program. We are responding to provide a realistic picture of NCRG. When discussing NCRG-funded publications in their essay, Babor & Miller state that ‘fewer than half (48%) cited funding from the NCRG in their Acknowledgement section or in a footnote of the paper’ (1, p. 341). We were surprised at this low rate of acknowledgement. Consequently, the NCRG staff contacted Dr Babor, who provided a list of the 30 papers included in his study as well as the 173 papers from which the sample of 30 was drawn. We examined the 167 papers from Babor & Miller's population that were immediately available to us and found that 72% of papers acknowledged that funding was provided by NCRG or the correct name of the organization at the time of paper publication. Also, in the past 5 years more than 98% of NCRG-funded papers have been acknowledged correctly. We have included our complete materials supporting the above points for public inspection in the ‘Supporting information’ section of the Journal's website. The claim that ‘fewer than half’ of NCRG-funded papers were acknowledged is not accurate. The actual rate for the history of the organization is more than 70% and more than 98% in the last 5 years. Correcting this misleading claim is important to NCRG, the Scientific Advisory Board and NCRG grantees. The claim leads readers to think mistakenly that NCRG is exerting influence on the science it funds, and that NCRG awardees do not want to divulge the source of funding for fear that their science will not be published. This could not be further from the truth. All authors are members (unpaid) of the National Center for Responsible Gaming Scientific Advisory Board, and receive reimbursement for travel to its annual board meeting, and coverage of hotel expenses to attend the board meeting. L.B.C. is funded by the National Institute on Drug Abuse (NIDA), National Center for Advancing Translational Sciences (NCATS), and the Patient Centered Outcomes Research Institute (PCORI). T.C. is supported by the National Institute on Alcohol Abuse and Alcoholism (NIAAA) and National Institute on Drug Abuse. D.C.H. received partial salary support from the Alberta Gambling Research Institute, funded by the Government of Alberta. L.B.C., D.C.H., G.M. and T.C. have served as reviewers for the NCRG competitive grants program, speakers at the NCRG annual conference in Las Vegas or won the NCRG Scientific Achievement Award. The Scientific Achievement Award is selected by a group of independent scientists and does not include any member of the NCRG Board of Directors, Scientific Advisory Board or NCRG staff. Each was compensated at the same rate paid to other reviewers, speakers or award winners. Each individual has received less than $2800 from these activities, in total, during the last 5 years. T.C. has served on the expert panel (unpaid) to develop the NIAAA Practitioner Guide for Alcohol Screening in Youth. D.C.H. has provided occasional, unpaid consultation to government agencies related to his research (e.g. Alberta, Singapore, Victoria). Appendix S1 The NCRG Firewall. Appendix S2 Organizational Nomenclature. Appendix S3 NCRG-Funded Publication Data. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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 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 | 0,004 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,004 | 0,026 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,004 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».