HarmoniCA
Collection
Harmonizing Clinical Assessments: enabling integration of symptom measures in large multi-site studies. • 6 items • Updated
How to use julia-pfarr/HarmoniCA_apathy with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("julia-pfarr/HarmoniCA_apathy")
sentences = [
"The weather is lovely today.",
"It's so sunny outside!",
"He drove to the stadium."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]Part of the HarmoniCA collection for harmonising psychiatric questionnaire items across studies. This model assigns items from apathy questionnaires to one of two theoretically motivated symptom dimensions.
| ID | Label | Description |
|---|---|---|
| 1 | Behavioral-Cognitive Apathy | goal-directed cognition and behavior, initiative, planning, curiosity, effort, productivity |
| 2 | Affective Apathy | emotional responsivity, emotional blunting, indifference to positive or negative events |
Items rated as not belonging to the apathy construct are assigned dimension -1 (Does not fit).
Evaluated on 68 held-out items from from unseen questionnaires against expert labels.
| Cohen's κ | Accuracy |
|---|---|
| 0.55 | 0.78 |
Cross-validation (leave-one-questionnaire-out, 11 folds): mean accuracy 77.9% ± 25.0%.
in preparation
Base model
BAAI/bge-large-en-v1.5