Sentence examples for confident trials from inspiring English sources

Correct trials were further segregated into "confident" and "not confident" trials.

There were a large number of correct but not confident trials (guesses), therefore we looked at the activation patterns for these trials (Fig. 2a, right panel).

We categorized correct-and-confident trials as 'true correct memory' trials in which correct encoding and adequate maintenance are assumed to have taken place.

Correct-but-not-confident trials were hypothesized to be guess trials because the participants produced correct responses but had no idea if they were correct (i.e., they were guessing).

Patients were significantly more confident on trials they correctly identified as the same (2.22 ± 0.52; 1, not sure…3, very sure) relative to the trials they erroneously identified as closer up (1.75 ± 0.6; Z = −2.20, p = 0.028), whereas controls were significantly more confident about their closer-up choices (2.3 ± 0.46) than their "the same" judgments (2.07 ± 0.46 Z == −2.19, p = 0.028).

Firstly, physicians feel confident that trials are not harmful, and that control by an Institutional Review Board IRBB) protects the child.

But today they appeared relaxed and confident the trial would work to their advantage.

So what makes Fradd fairly confident the trial will result in a useful drug?

When researchers are confident in trial findings, changes are implemented in clinical practice.

First, for each of these local voxel patterns, we trained a classifier for rule-based associations (spatial vs. non-spatial) on correct and high-confident retrieval trials of day 2 and applied this classifier to all retrieval trials of day 1.

As for our original MVPA analysis, we used a moving searchlight (8mm radius) to extract local voxel patterns throughout the entire volume and trained a classifier on correct and high-confident retrieval trials of day 2 (spatial vs. non-spatial; for a detailed description and statistical analysis of searchlight maps please see Materials and methods, Multi-voxel pattern analysis).