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Enregistrement W2465745209 · doi:10.1111/add.13353

Correcting the record on NCRG‐funded research

2016· letter· en· W2465745209 sur OpenAlexaffabout
Linda B. Cottler, Tammy Chung, David C. Hodgins, Miriam Jorgensen, Gloria M. Miele

Notice bibliographique

RevueAddiction · 2016
Typeletter
Langueen
DomainePharmacology, Toxicology and Pharmaceutics
ThématiquePharmaceutical industry and healthcare
Établissements canadiensLibin Cardiovascular Institute of AlbertaUniversity of Calgary
Organismes subventionnairesNational Center for Responsible Gaming
Mots-clésAcknowledgementMillerPopulationSection (typography)Library scienceSample (material)Research centerPolitical sciencePsychologyMedicinePublic relationsMedical educationLawSociologyComputer scienceBusinessDemographyAdvertising

Résumé

récupéré en direct d'OpenAlex

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche, Charge 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: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,241
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0040,026
Charge utile insuffisante (le modèle a refusé de juger)0,0090,004

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.

Tête enseignante Opus0,728
Tête enseignante GPT0,621
Écart entre enseignants0,107 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations6
Publié2016
Routes d'admission2
Résumé présentoui

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