Barely Significant
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Implications of atmospheric conditions for analysis of surface temperature variability derived from landscape-scale thermography.

Int J Biometeorol · 2017 · PMC5378758 · PMID 27562029

Europe PMCDOI
1
hedged sentence
0.0010
closest p · 0.0× alpha
0.0010
boldest claim

The sentences

highly significantp < 0.001actually significant
The three independent variables generated a highly significant model ( p < 0.001) with a determination coefficient of 0.92 (adjusted R 2 ; root mean squared error (RMSE) = 1.7 K) based on ca. 50 % randomly chosen observations (calibration dataset).

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