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The Confidence Database.

Dobromir RahnevKobe DesenderAlan L F LeeWilliam T AdlerDavid Aguilar-LleydaBaşak AkdoǧanPolina ArbuzovaLauren Y AtlasFuat BalcıJi Won BangIndrit BègueDamian Patrick BirneyTimothy F BradyJoshua Calder-TravisAndrey ChetverikovTorin K ClarkKaren DavrancheRachel N DenisonTroy C DildineKit S DoubleYalçın Akın DuyanNathan FaivreKaitlyn FallowElisa FilevichThibault GajdosRegan M GallagherVincent de GardelleSabina GhermanNadia HaddaraMarine HainguerlotTzu-Yu HsuXiao HuIñaki IturrateMatt JaquieryJustin KantnerMarcin KoculakMahiko KonishiChristina KoßPeter D KvamSze Chai KwokMaël LebretonKarolina M LempertChien Ming LoLiang LuoBrian ManiscalcoAntonio MartinSébastien MassoniJulian R MatthewsAudrey MazancieuxDaniel M MerfeldDenis O'HoraEleanor R PalserBorysław PaulewiczMichael PereiraCaroline PetersMarios G PhiliastidesGerit PfuhlFernanda PrietoManuel RauschSamuel RechtGabriel ReyesMarion RouaultJérôme SackurSaeedeh SadeghiJason SamahaTricia X F SeowMedha ShekharMaxine T ShermanMarta SiedleckaZuzanna SkóraLihong ChenDavid SotoSai SunJeroen J A van BoxtelShuo WangChristoph T WeidemannGabriel WeindelMichał WierzchońXinming XuQun YeJiwon YeonFuting ZouAriel Zylberberg
Published in: Nature human behaviour (2020)
Understanding how people rate their confidence is critical for the characterization of a wide range of perceptual, memory, motor and cognitive processes. To enable the continued exploration of these processes, we created a large database of confidence studies spanning a broad set of paradigms, participant populations and fields of study. The data from each study are structured in a common, easy-to-use format that can be easily imported and analysed using multiple software packages. Each dataset is accompanied by an explanation regarding the nature of the collected data. At the time of publication, the Confidence Database (which is available at https://osf.io/s46pr/) contained 145 datasets with data from more than 8,700 participants and almost 4 million trials. The database will remain open for new submissions indefinitely and is expected to continue to grow. Here we show the usefulness of this large collection of datasets in four different analyses that provide precise estimations of several foundational confidence-related effects.
Keyphrases
  • electronic health record
  • adverse drug
  • big data
  • working memory
  • rna seq
  • machine learning
  • deep learning