Zero-shot GPT-OSS detects depression from 1,108 primary care encounter transcripts with AUPRC 0.51 and AUROC 0.77, with meaningful signals in the first 128 patient tokens and added value from dyadic mirroring.
For each feature, group means are reported for the non-depression (n=855) and depression (n=253) groups, along with the t-statistic from a two-sample t-test
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Depression Detection at the Point of Care: Automated Analysis of Linguistic Signals from Routine Primary Care Encounters
Zero-shot GPT-OSS detects depression from 1,108 primary care encounter transcripts with AUPRC 0.51 and AUROC 0.77, with meaningful signals in the first 128 patient tokens and added value from dyadic mirroring.