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Diagnostic hit rates for the Diagnostic Inventory of Personality and Symptoms (DIPS) were compared to diagnosis by psychiatrists of the same patients (N = 60). Three methods were employed to determine the DIPS hit rates. The Probability Scale employing Bayesian concepts and base rates correctly classified 70% of the patients and was more accurate by far than the other two methods.
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Stored only when both papers are in the corpus — 44 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.