content: ### Test Configuration for Screening Tool
  
  [project]
  name = "Automated Screening Test"
  author = "Test Suite"
  version = "1.0"
  input_file = "./projects/test/inputs/screening/screening_test_input.csv"
  output_file = "./projects/test/outputs/screening/test_screening_output"
  text_column = "abstract"
  identifier_column = "doi"
  output_format = "csv"
  log_level = "low"  # Keep low for automated tests
  
  [filters]
  
  ### Deduplication filter - test exact matching
  [filters.deduplication]
  enabled = true
  use_ai = false
  compare_fields = ["title", "authors", "abstract", "doi"]
  
  ### Language detection filter - test English detection
  [filters.language]
  enabled = true
  accepted_languages = ["en"]
  use_ai = false
  
  ### Article type classification filter - test classification
  ### Note: Articles can have multiple overlapping types
  [filters.article_type]
  enabled = true
  use_ai = false
  
  # Traditional publication type exclusions
  exclude_reviews = true              # Excludes review, systematic_review, meta_analysis
  exclude_editorials = true
  exclude_letters = true
  exclude_case_reports = false
  exclude_commentary = false
  exclude_perspectives = false
  
  # Methodological type exclusions
  exclude_theoretical = false
  exclude_empirical = false
  exclude_methods = false
  
  # Study scope exclusions
  exclude_single_case = false
  exclude_sample = false
  
  include_types = []                  # Empty for test - accepts all non-excluded types
  
  ### Topic relevance filter - test relevance scoring
  [filters.topic_relevance]
  enabled = true
  use_ai = false
  topics = [
      "machine learning in climate applications",
      "artificial intelligence for climate predictions",
      "deep learning models for extreme events"
  ]
  min_score = 0.4
  
  [filters.topic_relevance.score_weights]
  keyword_match = 0.4
  concept_match = 0.4
  field_relevance = 0.2
  
  ### LLM configuration for automated tests
  [[filters.llm]]
  provider = "DeepSeek"
  api_key = ""
  model = "deepseek-chat"
  temperature = 0.001
  tpm_limit = 0
  rpm_limit = 0
  