Results 111 to 120 of about 765,105 (162)

Resolving root causes of experiment discrepancies guided by machine learning. [PDF]

Nat Commun
Neudecker D, Kelly KJ, Vander Wiel SA, Carlson AD, Grosskopf MJ, Brown DA, Pritychenko B, Walton NAW, Haight RC.   +8 more
europepmc   +1 more source

Correction: Kang et al. Comparative Evaluation of Serum Separator V-Tube™, VQ-Tube™, and K₂EDTA V-Tube™ with Becton Dickinson Tubes for Chemistry, Immunology, and Hematology Examinations. <i>Diagnostics</i> 2025, <i>15</i>, 1775. [PDF]

Diagnostics (Basel)
Kang T, Yun SG, Nam MH, Cho Y, Nam M.
europepmc   +1 more source

Overview of GNSS biases, IGS Workshop on GNSS Biases 2012

, 2012
Schaer, Stefan
core  

The cognitive biases that may exacerbate inflationary and deflationary positions about large language models.

Curr Opin Behav Sci
Palminteri S, Pistilli G.
europepmc   +1 more source

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Biased Surveys

SSRN Electronic Journal, 2023
We find empirical evidence that surveys of professional forecasters are biased by strategic incentives. First, we find that individual forecasts overreact to idiosyncratic information but underreact to common information. We show this is consistent with a model of strategic diversification incentives in forecast reporting where forecasters want to ...
Gemmi, Luca, Valchev, Rosen
openaire   +1 more source

Biased contests [PDF]

Public Choice, 2008
We examine the effects of providing more accurate information to a political decision-maker lobbied by competing interests. We investigate how this bias in the direction of the correct decision affects efficiency, measured (inversely) by both the probability of taking an incorrect decision, and the amount of social waste associated to lobbying ...
Matthias Dahm, Nicolás Porteiro
openaire   +1 more source