Confusion matrix of the model running the classification.
Output only. Rows in the confusion matrix. The number of rows
is equal to the size of annotation_spec_id.
row[i].value[j] is the number of examples that have ground
truth of the annotation_spec_id[i] and are predicted as
annotation_spec_id[j] by the model being evaluated.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-10-02 UTC."],[],[]]
