recruitment-intelligence / config /calibration.json
Niketjain2002's picture
Fix score calibration: use weighted blend instead of multiplicative formula
029eefa verified
{
"description": "Conservative calibration parameters to prevent score inflation",
"score_to_probability_mapping": {
"method": "sigmoid_with_conservative_shift",
"parameters": {
"midpoint": 0.50,
"steepness": 4.0,
"conservative_shift": -0.03,
"floor": 0.05,
"ceiling": 0.92
}
},
"dimension_caps": {
"shortlist": {
"missing_1_critical_skill": 0.45,
"missing_2_critical_skills": 0.25,
"missing_3_plus_critical_skills": 0.10,
"seniority_mismatch_2_plus_bands": 0.30
},
"offer_acceptance": {
"comp_significantly_below": 0.25,
"location_hard_mismatch": 0.15,
"career_direction_mismatch": 0.35
},
"retention_6m": {
"avg_tenure_under_12m": 0.40,
"overqualified_2_plus_bands": 0.35,
"no_growth_room": 0.45
}
},
"confidence_adjustments": {
"low_confidence_penalty": 0.85,
"sparse_resume_penalty": 0.90,
"description": "Multiply final probabilities by these factors when confidence is low"
},
"base_rates": {
"description": "Industry base rates for calibration anchoring",
"shortlist_rate": 0.15,
"interview_pass_rate": 0.25,
"offer_acceptance_rate": 0.70,
"six_month_retention_rate": 0.85,
"overall_hire_rate": 0.03
}
}