Sentence examples for less calibrated from inspiring English sources

Exact(2)

She won't win, partly because she's competing against Vera Farmiga from the same film, and partly because Mo'nique, in "Precious," gave a performance that is, if less calibrated, more physically audacious.

Clinton's main rival for the Democratic ticket, Vermont senator Bernie Sanders, was far less calibrated, declaring the deal "a victory for diplomacy over saber-rattling [that] could keep the United States from being drawn into another never-ending war in the Middle East".

Similar(56)

A less strictly calibrated classifier could, then, be applied solely to these positions revealing further windows.

However, in general, self-selections were less well calibrated to the impressions of unfamiliar viewers (bottom left) than were other-selections (bottom right).

If so, this difference in learning history may account for why the CAC plot for lures is shallower and less well calibrated than that for targets.

That Seth MacFarlane of "The Family Guy and Tedet" et al, is the series' executive producer might lead one to expect that this would be a ruder, less delicately calibrated show than "Bored to Death," and it is.

The PIM test was less well calibrated overall.

In the population-based validation cohort, the model was less well calibrated and performed similar to day 1 SAPS II score (Table 2 and Figure 2).

For the prediction of micro- and macrometastases, the nomogram showed poorer discrimination, with an AUC of 0.67, and was less well calibrated (average error =10.9%).

A stage 3 AKI risk prediction score also demonstrated good discrimination (AUC = 0.78 (95% CI 0.75, 0.80)) as did the four comparison risk scores, but stage 3 AKI scores were less well calibrated.

Considering LN metastasis detected by conventional histologic analysis and ultrastaging, the nomogram showed poorer discrimination, with an AUC of 0.67 (95% CI 0.63 0.72), and was less well calibrated (average error=10.9%, maximal error=15.9%) with a statistical difference between predictions and observations (P-value of the U index<0.0001).

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