Parameters from Smaldino and McElreath (2016): |
η |
Strength of the association between effort (e) and the probability of tackling a new hypothesis |
0.2 |
Wi
|
Power of a lab to correctly detect a true hypothesis |
0.8 |
e0
|
Starting effort for labs |
10, 50, 75
|
ψ |
Random mutation in effort from a standard Normal distribution |
N(0,1) |
Additional parameters for simulations presented here: |
j |
Cycles per audit |
50, 75, 150, 200 |
n |
Number of papers needed to be eligible for auditing |
25, 50
|
el+
|
Increased effort of audited labs |
0, 1, 5, 10 |
en+
|
Increased effort of networked labs |
0, 0.5, 1, 5, 10 |
c |
Cut-off in cumulative distribution function at which labs are removed |
0.67, 0.95, 1 |
Review error |
Percent by which the number of false positives are randomly changed in order to simulate reviewer error |
0, 20 |
Mistake probability |
Mistake probability for papers with a false positive finding |
0.25 |