Abstract: A system, method, and computer-readable medium are disclosed for the automated processing and scoring of applications. Application reader resources are selected to read and score individual categories of the application. The difference between the respective reader scores and an average delta value for each category of each application that the selected readers have previously score is calculated. The standard deviation of the average delta value for each category is calculated. If the selected reader's score for that category is not within one standard deviation of the average delta value, then the selected reader's score is adjusted the least amount necessary to be so. An additional application reader is selected to read and score the application. Reading and scoring operations are continued until at least two reader scores are within one standard deviation of the average of the adjusted scores. Final scoring of all applications is performed and the scored applications are ranked in descending order.

Abstract: A system, method, and computer-readable medium are disclosed for the automated processing and scoring of applications. Application reader resources are selected to read and score individual categories of the application. The difference between the respective reader scores and an average delta value for each category of each application that the selected readers have previously score is calculated. The standard deviation of the average delta value for each category is calculated. If the selected reader's score for that category is not within one standard deviation of the average delta value, then the selected reader's score is adjusted the least amount necessary to be so.