Effects | P(incl) | P(incl|d) | BF_{incl} |
---|---|---|---|

B | 0.737 | 0.804 | 1.463 |

D | 0.737 | 0.815 | 1.571 |

G | 0.737 | 0.641 | 0.637 |

B·D | 0.316 | 0.142 | 0.360 |

G·B | 0.316 | 0.085 | 0.202 |

G·D | 0.316 | 0.087 | 0.206 |

G·B·D | 0.053 | 7.157e −4 | 0.013 |

The table lists each factor and interaction for generic error rates. Extended Data Table 5-1 lists the models and associated probabilities, used to compute the effects. P(incl) is the prior probability of the predictors; P(incl|d) is the posterior probability; BF

_{incl}is Bayes factor. A BF greater than 1.0 favors the predictor, a BF less than 1.0 favors a null effect instead. The only predictors with favorable evidence, albeit of very modest entity, are block and probe dimension.