saurabinfocusp/human-pbmc

Model Card: cell_type

Summary

• Task: cell_type_annotation
• Model version: 1.0.0
• scaLR version: 2.0.0.dev0
• Species: not specified
• Random seed: 42

Training data

• Labels column: cell_type
• Grouping column (leakage-safe split): donor_id
• Split ratio (train/val/test): [0.7, 0.1, 0.2]
• Feature count: 30695
• Classes (10): CD16-negative, CD56-bright natural killer cell, human, CD16-positive, CD56-dim natural killer cell, human, classical monocyte, conventional dendritic cell, granulocyte, intermediate monocyte, natural killer cell, non-classical monocyte, plasmacytoid dendritic cell, platelet

Performance (held-out test split)

• macro-F1: 0.6885
• weighted-F1: 0.9281
• balanced accuracy: 0.6822
• test cells: 23,492

Confidence & abstention

• Calibration: temperature scaling (T=2.546)
• Open-set thresholds: {'min_confidence': 0.8577296197414398, 'max_entropy': 0.20046073645353296, 'min_margin': 0.7288531720638275}

Known limitations

• Evaluated only on the training-distribution data described above; performance on out-of-distribution donors, tissues, or sequencing technologies is not validated.
• Open-set (is_unknown) thresholds are fit on a single validation split and are a heuristic screening signal, not a guarantee of correct abstention.
• Gene/feature coverage should be checked (scalr.validate) on every new query dataset.

License

• Source code license: see repository LICENSE.
• This model artifact's weights/data license: not specified by this template; set explicitly by the model's author/distributor before sharing.