Model card
astris-match-engine-v1
Eight-dimension match engine combining skills (0.27), experience (0.20), logistics (0.15), retention (0.15), language (0.10), education (0.05), culture (0.05) and interview (0.03), with an essential-skill coverage cap and a cross-function-family cap. The retention dimension reads the retention ensemble.
At a glance
| Kind | scoring heuristic |
| Version | 1.0.0 |
| Status | Active — contributing to scores |
| Ensemble weight | 0 |
| Trained at | Not trained yet |
| Trained on | n/a |
| Artifact | No artifact (heuristic or pre-training) |
Metrics
{
"weights": {
"skills": 0.27,
"culture": 0.05,
"language": 0.1,
"education": 0.05,
"interview": 0.03,
"logistics": 0.15,
"retention": 0.15,
"experience": 0.2
},
"validation": "synthetic_seed",
"real_cohort": "pending"
}Notes
Composition / weighting layer over the model outputs, not itself a retention voter — weight 0. See api/ml/match_engine.py.