{
  "id": "metacore_public_knowledge_topology_v1",
  "version": "1.1.0",
  "status": "PUBLIC_SAFE_LIBRARY_MAP",
  "source_map_id": "metacore_knowledge_topology_v1",
  "source_map_sha256": "sha256:50f8cbbf79d74469633596f736b90df096985e599a429d208e3dda4f6bfdc677",
  "projection_sha256": "sha256:5c95efe674fe515b4c01facd8696939f66ac72cb86bf367a866fdb9fcba690a1",
  "purpose": "A public conceptual map for navigating neighboring knowledge regions and epistemic classes. It is orientation, not factual proof and not a source browser.",
  "rules": {
    "runtime_api_required": false,
    "access_token_required": false,
    "topology_is_not_proof": true,
    "source_specific_claims_require_source_evidence": true,
    "symbolic_topics_are_not_scientific_fact": true,
    "recommended_hops_max": 3
  },
  "regions": [
    {
      "id": "health_clinical",
      "label": "Health & Clinical Reasoning",
      "epistemic_class": "EMPIRICAL_HIGH_STAKES",
      "summary": "Clinical reasoning, symptoms, measurements, laboratory interpretation, safety boundaries, uncertainty and evidence quality.",
      "topics": [
        "clinical reasoning",
        "symptoms",
        "laboratory evidence",
        "measurements",
        "risk",
        "uncertainty",
        "health systems",
        "safety"
      ]
    },
    {
      "id": "law_rights",
      "label": "Law, Rights & Evidence",
      "epistemic_class": "LEGAL_NORMATIVE_HIGH_STAKES",
      "summary": "Legal structure, rights, contracts, evidence chains, procedure, accountability and interpretation of normative rules.",
      "topics": [
        "law",
        "rights",
        "contracts",
        "evidence",
        "procedure",
        "liability",
        "human rights",
        "governance"
      ]
    },
    {
      "id": "robotics_engineering",
      "label": "Robotics & Engineering",
      "epistemic_class": "ENGINEERING_EMPIRICAL",
      "summary": "Mechanical systems, actuators, sensors, control software, electronics, manufacturing, simulation, validation and automation.",
      "topics": [
        "robotics",
        "mechanics",
        "actuation",
        "sensors",
        "control",
        "electronics",
        "automation",
        "manufacturing",
        "simulation",
        "validation"
      ]
    },
    {
      "id": "science_research",
      "label": "Science & Research Methods",
      "epistemic_class": "EMPIRICAL_METHOD",
      "summary": "Research design, measurement, evidence quality, reproducibility, education, experimental reasoning and model evaluation.",
      "topics": [
        "research",
        "scientific method",
        "measurement",
        "experiments",
        "reproducibility",
        "models",
        "education",
        "evidence quality"
      ]
    },
    {
      "id": "minerals_materials",
      "label": "Minerals & Materials",
      "epistemic_class": "EMPIRICAL_MATERIAL_SCIENCE",
      "summary": "Mineralogy, crystals, materials, physical properties, composition, classification and engineering relevance.",
      "topics": [
        "minerals",
        "crystals",
        "materials",
        "composition",
        "properties",
        "classification",
        "geology",
        "material behavior"
      ]
    },
    {
      "id": "biolocation_measurement",
      "label": "Biolocation, Measurement & Signal Interpretation",
      "epistemic_class": "MIXED_EVIDENCE_REQUIRES_VALIDATION",
      "summary": "Biolocation and radiesthesia source traditions together with measurement, signal interpretation, controls, uncertainty and validation requirements.",
      "topics": [
        "biolocation",
        "radiesthesia",
        "measurement",
        "signals",
        "controls",
        "validation",
        "uncertainty",
        "instrumentation"
      ]
    },
    {
      "id": "metaphysics_symbolic",
      "label": "Metaphysics & Symbolic Models",
      "epistemic_class": "SYMBOLIC_INTERPRETIVE_HYPOTHESIS",
      "summary": "Metaphysical, symbolic and consciousness-oriented models used for interpretation, pattern exploration and hypothesis framing, not as scientific proof.",
      "topics": [
        "metaphysics",
        "symbolic models",
        "consciousness",
        "meaning",
        "archetypes",
        "worldviews",
        "hypothesis",
        "interpretation"
      ]
    }
  ],
  "relations": [
    {
      "from": "health_clinical",
      "to": "science_research",
      "relation": "USES_METHODS_FROM",
      "why": "Clinical conclusions depend on measurement, study design, uncertainty and evidence quality."
    },
    {
      "from": "health_clinical",
      "to": "law_rights",
      "relation": "CONSTRAINED_BY",
      "why": "Health work intersects consent, privacy, rights, professional duties and evidence standards."
    },
    {
      "from": "health_clinical",
      "to": "biolocation_measurement",
      "relation": "COMPARES_WITH",
      "why": "Claims involving signals or diagnostic interpretation should be compared against validated measurement and clinical evidence."
    },
    {
      "from": "robotics_engineering",
      "to": "science_research",
      "relation": "VALIDATED_BY",
      "why": "Engineering designs require experiment, simulation, measurement and repeatable validation."
    },
    {
      "from": "robotics_engineering",
      "to": "minerals_materials",
      "relation": "DEPENDS_ON",
      "why": "Mechanical, electrical and manufacturing choices depend on material properties and behavior."
    },
    {
      "from": "robotics_engineering",
      "to": "biolocation_measurement",
      "relation": "SHARES_MEASUREMENT_CONCEPTS",
      "why": "Sensors, signals, calibration and noise are common reasoning concepts."
    },
    {
      "from": "science_research",
      "to": "biolocation_measurement",
      "relation": "VALIDATES_OR_CHALLENGES",
      "why": "Measurement claims require controls, repeatability, uncertainty analysis and falsifiable tests."
    },
    {
      "from": "science_research",
      "to": "metaphysics_symbolic",
      "relation": "DISTINGUISHES_EPISTEMIC_CLASS",
      "why": "Symbolic or metaphysical interpretation may inspire hypotheses but is not equivalent to empirical verification."
    },
    {
      "from": "law_rights",
      "to": "science_research",
      "relation": "USES_EVIDENCE_FROM",
      "why": "Technical and scientific evidence may inform legal reasoning, while legal standards determine admissibility and normative consequences."
    },
    {
      "from": "law_rights",
      "to": "robotics_engineering",
      "relation": "GOVERNS_DEPLOYMENT",
      "why": "Robotic systems may involve safety, liability, privacy, workplace and accountability obligations."
    },
    {
      "from": "minerals_materials",
      "to": "science_research",
      "relation": "STUDIED_BY",
      "why": "Material claims are evaluated through measurement, classification, chemistry, physics and repeatable testing."
    },
    {
      "from": "minerals_materials",
      "to": "metaphysics_symbolic",
      "relation": "MAY_HAVE_SYMBOLIC_TRADITIONS",
      "why": "Cultural or metaphysical interpretations of minerals should remain separate from measurable material properties."
    },
    {
      "from": "biolocation_measurement",
      "to": "metaphysics_symbolic",
      "relation": "HAS_INTERPRETIVE_OVERLAP",
      "why": "Some traditions use symbolic explanatory models; empirical claims still require independent validation."
    }
  ],
  "example_routes": [
    {
      "question_pattern": "robot sensor reliability",
      "route": [
        "robotics_engineering",
        "science_research"
      ],
      "reason": "Start with sensors/control, then check measurement and validation."
    },
    {
      "question_pattern": "medical test result uncertainty",
      "route": [
        "health_clinical",
        "science_research"
      ],
      "reason": "Interpret clinically, then inspect evidence quality and uncertainty."
    },
    {
      "question_pattern": "robot material for actuator",
      "route": [
        "robotics_engineering",
        "minerals_materials",
        "science_research"
      ],
      "reason": "Design need → material properties → validation."
    },
    {
      "question_pattern": "unusual signal or biolocation claim",
      "route": [
        "biolocation_measurement",
        "science_research"
      ],
      "reason": "Map the claim, then test controls, repeatability and uncertainty."
    },
    {
      "question_pattern": "mineral healing claim",
      "route": [
        "minerals_materials",
        "metaphysics_symbolic",
        "health_clinical",
        "science_research"
      ],
      "reason": "Separate measurable material properties, symbolic traditions, health implications and evidence quality."
    },
    {
      "question_pattern": "AI robot liability",
      "route": [
        "robotics_engineering",
        "law_rights",
        "science_research"
      ],
      "reason": "Technical behavior → legal responsibility → evidence/validation."
    },
    {
      "question_pattern": "consciousness or metaphysical model",
      "route": [
        "metaphysics_symbolic",
        "science_research"
      ],
      "reason": "Interpret the model while keeping empirical status explicit."
    }
  ]
}