Model-based homogeneity determination of data detection sample

A system comprising:

• one or more processors;
• and
• memory configured to store code comprising instructions, wherein the instructions, when executed, cause the one or more processors to:
• receive a detection dataset comprising a set of detection values corresponding to measurements of target entities, the target entities generated from a sample in a detection analysis, each detection value in the set corresponding to a measurement of one or more target entities;
• extract one or more features of the detection dataset, wherein at least one feature is extracted from a version of a particular detection value;
• input the one or more features of the detection dataset into a model;
• and
• generate a computer-automated determination of homogeneity of the target entities in the sample based on an output of the model.

A computer-implemented method, comprising:

• receiving a detection dataset comprising a set of detection values corresponding to measurements of target entities, the target entities generated from a sample in a detection analysis, each detection value in the set corresponding to a measurement of one or more target entities;
• extracting one or more features of the detection dataset, wherein at least one feature is extracted from a version of a particular detection value;
• inputting the one or more features of the detection dataset into a model;
• and
• generating a computer-automated determination of homogeneity of the target entities in the sample based on an output of the model.