✅ cleveland_clinic_example.json

RTT/1 Structural Example — Cleveland Clinic (US Clinical Regime)#

This example JSON is not “content from Cleveland Clinic.”
It is the RTT‑extracted structural packet derived from Cleveland Clinic’s stable medical regime — meaning:

no copyrighted text
no scraped content
no page reproduction

Instead, it contains the RTT operator outputs for a generic Cleveland Clinic page, demonstrating:

metadata
drift
substrate
regime
continuity kernel
synthesis preview

This is the correct pattern for all three examples (US, China, UK).

Below is the drop‑in ready JSON for:

cleveland_clinic_example.json

{
  "source": {
    "site": "Cleveland Clinic",
    "region": "United States",
    "regime": "clinical_regime",
    "notes": "Stable, conservative, low-drift medical substrate used as baseline reference."
  },
 
  "metadata": {
    "substrate_type": "html",
    "substrate_stability": "high",
    "substrate_noise": "low",
    "layer_interference": "absent",
    "accessibility_stability": "high",
    "drift_sensitivity": "low",
    "translation_stability": "translation_stable",
    "commercial_overlay": "commercial_overlay_absent",
    "ai_augmentation": "ai_generated_content_absent"
  },
 
  "drift_profile": {
    "template_drift": "low",
    "semantic_drift": "low",
    "translation_drift": "none",
    "ai_drift": "none",
    "commercial_drift": "none",
    "regime_drift": "low",
    "drift_score": 0.88,
    "drift_flags": []
  },
 
  "regime_profile": {
    "regime": "clinical_regime",
    "regime_coherence": "high",
    "regime_shift": "none",
    "regime_signals": [
      "clinical_anchors_present",
      "risk_escalation_explicit",
      "symptom_cause_treatment_structure"
    ],
    "regime_score": 0.91
  },
 
  "continuity_kernel": {
    "stable_symptoms": [
      "persistent pain",
      "pressure or tightness",
      "radiating discomfort",
      "shortness of breath"
    ],
    "stable_risk_factors": [
      "age",
      "hypertension",
      "diabetes",
      "smoking",
      "family_history"
    ],
    "stable_red_flags": [
      "severe chest pain",
      "difficulty breathing",
      "fainting",
      "sudden weakness",
      "confusion"
    ],
    "stable_actions": [
      "seek emergency care if red flags present",
      "follow-up with clinician for persistent symptoms"
    ],
    "stable_differentials": [
      "cardiac",
      "pulmonary",
      "musculoskeletal",
      "gastrointestinal"
    ],
    "continuity_score": 0.93
  },
 
  "synthesis_preview": {
    "stable_elements": [
      "clear symptom → cause → treatment structure",
      "explicit escalation thresholds",
      "consistent risk framing"
    ],
    "regime_specific_elements": {
      "clinical": [
        "emphasis on physician evaluation",
        "conservative diagnostic framing"
      ],
      "ai_augmented": [],
      "public_health": []
    },
    "drift_sensitive_elements": [],
    "substrate_risks": [],
    "uncertainty_flags": [],
    "escalation_indicators": [
      "presence of red-flag symptoms",
      "rapid symptom progression"
    ],
    "synthesis_score": 0.89
  }
}

✔️ What This Example Demonstrates#

This JSON shows:

how RTT interprets Cleveland Clinic structurally
how stable the US clinical regime is
how continuity kernels form the backbone
how drift is minimal
how substrate is clean and low‑noise
how synthesis begins to take shape

This is the baseline against which Ping An (China) and NHS (UK) will be contrasted.

Updated May 8, 2026