Sentence examples for and likelihood of each from inspiring English sources

Based on the total cost and likelihood of each drug reaching production, the study concluded that current spending is insufficient to make any real progress towards combating these diseases by the year 2030.

Detailed information about latitude/longitude, roadway number, city, state, zip-code, country, traffic sign type, and likelihood of each detected traffic sign are also shown by clicking on these markers.

The distribution and likelihood of malignancy for each descriptor were calculated.

Text was deliberately kept to a minimum, describing only the intended use of the tool, the characteristics of a normal film and diagnosis and likelihood of PTB for each image.

Multivariate analysis with a repeated measures MANCOVA revealed a significant within effect for intervention type, indicating that participants reported different acceptability and likelihood of use for each intervention (V = 0.33, F (39,355) = 4.46, p <.001, η2 = 0.33).

Discrete hazards models were used to explore the effect of premarital exposure to messages and likelihood of modern method use at each parity level.

So taking into account the expected points from failure and success, and the likelihood of each, the expected points of a field-goal attempt is -0.02.

Specificity, sensitivity and positive likelihood of each item are reported in table 1. Specificity and sensitivity of the abnormal neurological assessment at term were 0.64 (0.62 to 0.66) and 0.56 (0.48 to 0.63), respectively, for predicting suboptimal neuromotor status at 2 years, and 0.65 (0.62 to 0.67) and 0.55 (0.48 to 0.61), respectively, for predicting cerebral palsy.

NYT 4th Down Bot uses the expected points from success, the expected points from failure and the likelihood of each outcome to compute the net value of a decision.

(1) Each utterance was force aligned to triphone transcription, in order to determine the frame boundaries and the likelihood of each triphone in the utterance.

Under the Bayesian approach, all unknown parameters must be provided a prior distribution that defines the range of possible values of the parameter and the likelihood of each of those values based on information external to the data.