factors:
  model_name: "all-MiniLM-L6-v2"

  scoring:
    batch_size: 10000
    float_precision: float32

  aggregation:
    enable_section_weights: true
    top_percentile: 0.95
    min_chunks_per_filing: 1

  section_weights:
    risk_measures:
      risk_factors: 2.0
      md_and_a: 1.5
      legal_proceedings: 1.3
      full_body: 1.0
      controls_and_procedures: 0.8
      quantitative_disclosures: 0.8
      financial_statements: 0.5
      unregistered_sales: 0.5
    operational_measures:
      md_and_a: 2.0
      full_body: 1.0
      risk_factors: 1.2
      controls_and_procedures: 0.8
      quantitative_disclosures: 0.8
      financial_statements: 0.5
      legal_proceedings: 0.5
      unregistered_sales: 0.5

  anchor_weight_profile:
    ai_adoption: operational_measures
    ai_disruption_risk: risk_measures
    ai_infrastructure: operational_measures
    esg_commitment: operational_measures
    climate_risk: risk_measures
    cybersecurity: risk_measures
    automation_labor: operational_measures
    macro_risk: risk_measures

  longitudinal:
    rolling_window: 3
    min_years_for_drift: 2

  export:
    formats:
      - parquet
      - csv
    output_dir: outputs/factors