✅ RTT_MEDICAL_SUBSTRATE_v1.json

RTTcode Signature — Medical Substrate Operator#

This is the substrate RTTcode signature, which defines the machine‑readable contract for the MEDICAL_SUBSTRATE_OPERATOR — the operator that determines:

what the medical content is made of
how stable it is
how much noise it carries
how much interference it introduces
how safe it is for downstream reasoning

This signature must be:

operator‑first
minimal
canonical
zero‑drift
aligned with the tri‑regime medical module
consistent with your other RTTcode files

Below is the drop‑in ready JSON for:

RTT_MEDICAL_SUBSTRATE_v1.json

{
  "rttcode_version": "1.0",
  "operator": "MEDICAL_SUBSTRATE_OPERATOR",
  "module": "medicine",
  "purpose": "Classify and evaluate the substrate of medical information across regimes (US clinical, China AI-augmented, UK public-health).",
 
  "inputs": {
    "raw_content": "medical page (html, mobile_html, pdf, image, ocr, mixed)",
    "snapshot_set": "multi-snapshot versions of the same page",
    "language_variants": "multilingual content when present"
  },
 
  "outputs": {
    "substrate_packet": {
      "substrate_type": "html|mobile_html|pdf|image|ocr|mixed",
      "substrate_stability": "very_high|high|medium|low",
      "substrate_noise": "low|medium|high",
      "layer_interference": "layer_interference_present|layer_interference_absent",
      "accessibility_stability": "very_high|high|medium|low",
 
      "translation_layer": "present|absent",
      "commercial_layer": "present|absent",
      "ai_overlay_layer": "present|absent"
    },
    "substrate_score": "float_0_to_1",
    "substrate_flags": [
      "substrate_unstable",
      "noise_high",
      "translation_layer_detected",
      "commercial_layer_detected",
      "ai_overlay_detected",
      "ocr_risk"
    ]
  },
 
  "substrate_logic": {
    "detect_substrate_type": true,
    "detect_noise_layers": true,
    "detect_translation_layers": true,
    "detect_ai_overlays": true,
    "detect_commercial_overlays": true,
    "evaluate_accessibility": true,
    "scoring_method": "weighted_stability_minus_noise"
  },
 
  "regime_profiles": {
    "clinical_regime": {
      "expected_substrate": "html",
      "expected_noise": "low",
      "expected_interference": "absent",
      "notes": "Cleveland Clinic stable HTML substrate."
    },
    "ai_augmented_regime": {
      "expected_substrate": "mobile_html",
      "expected_noise": "high",
      "expected_interference": "present",
      "notes": "Ping An mobile-first, AI overlays, translation layers, commercial prompts."
    },
    "public_health_regime": {
      "expected_substrate": "html",
      "expected_noise": "low",
      "expected_interference": "absent",
      "notes": "NHS standardized, clarity-first HTML substrate."
    }
  },
 
  "flags": {
    "substrate_unstable": "boolean",
    "noise_high": "boolean",
    "translation_layer_detected": "boolean",
    "commercial_layer_detected": "boolean",
    "ai_overlay_detected": "boolean",
    "ocr_risk": "boolean"
  },
 
  "safety": {
    "patient_safe_output": true,
    "no_medical_advice": true,
    "substrate_risk_disclosure_required": true,
    "uncertainty_disclosure_required": true
  }
}

✔️ What This RTTcode Signature Establishes#

This JSON defines the substrate backbone for the medical module:

It classifies:#

HTML (Cleveland Clinic, NHS)
mobile HTML (Ping An)
PDF
image
OCR
mixed substrates

It evaluates:#

substrate stability
noise levels
interference layers
accessibility stability

It detects:#

translation layers
commercial overlays
AI overlays
OCR risk

It encodes regime expectations:#

US clinical → stable HTML, low noise
China AI‑augmented → mobile, high noise, AI overlays
UK public‑health → very stable HTML, clarity‑first

This is the contract that allows the drift, continuity, and synthesis operators to trust the input.

Updated May 8, 2026