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Enregistrement W2434499209 · doi:10.5489/cuaj.3891

Addressing concerns around the veracity of scientific research and publication

2016· editorial· en· W2434499209 sur OpenAlexaffvenue
D. Robert Siemens, Fred Saad

Notice bibliographique

RevueCanadian Urological Association Journal · 2016
Typeeditorial
Langueen
DomainePharmacology, Toxicology and Pharmaceutics
ThématiquePharmaceutical industry and healthcare
Établissements canadiensUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésData sciencePolitical sciencePsychologyEngineering ethicsComputer scienceEngineering

Résumé

récupéré en direct d'OpenAlex

any readers of this issue of the CUAJ will be looking forward to attending the 71 st annual meeting of the CUA, being held this month in Vancouver, BC.The academic offerings at the meeting appear to be outstanding and we look forward to celebrating the multidisciplinary collegiality, as well as the research/ education advancements that have defined the meeting over the years.However, if you have been following the science sections of several popular news outlets over the last few months, you will recognize that not everyone has been similarly rejoicing in the aura of such scientific inquiry.As an example, in April 2016, the CBC ran a piece decrying the apparently increasing issue of academic dishonesty in scientific/medical research and, in particular, the phenomenon of manuscript retraction in scientific journals for various offenses.Headlines such as, "I think we have to call it what it is.It is the corruption of the scientific process," certainly garnered our attention.1 This particular CBC exposé highlighted the work of the current, and somewhat controversial, BMJ editor Dr. Fiona Godlee, as well as ongoing campaigns to re-envision how scientific information is reviewed, judged, and reported.There has indeed been burgeoning evidence and increasing focus on scientific misconduct, including issues around plagiarism, falsified data and, occasionally, simple honest mistakes leading to manuscript retraction from journals of all different stripes."Medicine and science are run by human beings, so there will always be crooks," Godlee is reported to say in the CBC piece. 1 Without doubt, there are more and more papers retracted from scientific/biomedical journals (up to 400-500 a year), with some estimating that the majority of these are due to some degree of academic dishonesty.For interesting, and somewhat disturbing, reading we would suggest a quick perusal of the blog, "Retraction Watch."The blog was generated by Ivan Oransky and Adam Marcus in 2010 to shed some light on journal retractions, many of which are often not sufficiently announced or publicized.As of the writing of this editorial, at least one urological article was on the leader board of top 10 referenced articles that had been subsequently retracted.Although article retractions could and should be viewed as a positive mechanism for scientific self-adjustment, the blog also highlights the more nefarious cases of academic misconduct -a symptom of the extraordinary commercial and professional pressures of scientific inquiry and biomedical research.At CUAJ specifically, we have endorsed a code of conduct and best practice guidelines of the Committee on Publication Ethics, a link for which can be found on our website.This editorial was run through several online plagiarism checkers!Concern over retractions of articles for either legitimate mistakes/misinterpretation or more fraudulent motives are only one component of more widespread apprehension over the direction and implementation of biomedical research.Many have voiced alarm around funding and justification of certain drug trials, issues of publication bias, and lack of fulsome reporting of clinical trial results, all of which could potentially lead to inappropriate clinical decision-making and increased healthcare costs, and can create real harm to patients.2 In a recent attempt to address at least some of these real issues, the International Committee of Medical Journal Editors (ICMJE) published a proposal in JAMA that would require authors publishing in their networked journals to automatically share the de-identified individual patient data that make up the results presented in an article within six months of publication.The rationale for such a mandate would be to theoretically allow early independent analysis and confirmation of results, allowing increased "confidence and trust in the conclusions drawn from clinical trials."As stated in their Addressing concerns around the veracity of scientific research and publication

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)0,065
score de la tête « metaresearch » (Gemma)0,248
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: Évaluation · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,950
Score d'incertitude au seuil0,342

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0650,248
Méta-épidémiologie (sens strict)0,0040,002
Méta-épidémiologie (sens large)0,0050,004
Bibliométrie0,0090,005
Études des sciences et des technologies0,0090,013
Communication savante0,0280,013
Science ouverte0,0080,005
Intégrité de la recherche0,0500,055
Charge utile insuffisante (le modèle a refusé de juger)0,0100,008

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 Opus0,597
Tête enseignante GPT0,578
Écart entre enseignants0,020 · 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.

Devis d'étudeSans objet
DomaineÉvaluation
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

Citations0
Publié2016
Routes d'admission2
Résumé présentnon

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