{
  "schema_version": 1,
  "reason_for_new_draw": "The user specified an English name after the earlier Japanese draw. The Japanese draw remains historical and is not the final name.",
  "previous_record": "naming-record.json",
  "candidate_file": "naming-english-candidates.json",
  "candidate_sha256_before_draw": "633158689e0ae940e4e1cae2899b578f8953de29bd378ea41b25c7745fe4a075",
  "mechanism": "Python standard library secrets.choice; one draw",
  "drawn_at_utc": "2026-10-21T17:56:38.502274+00:00",
  "selected": "apron",
  "collision_check": {
    "status": "accepted_no_confusing_audio_signal_or_ml_method_found",
    "repository_search": "BASELINE.json, vocoderbench, docs, README.md, migration records excluding the candidate list: no prior Apron method name",
    "public_queries": [
      "Apron vocoder speech synthesis model algorithm",
      "Apron audio signal processing machine learning model",
      "\"Apron\" speech technology neural network",
      "\"APRON\" vocoder",
      "\"APRON\" speech synthesis",
      "\"APRON\" machine learning model audio"
    ],
    "examples_of_unrelated_results": [
      "https://www.mdpi.com/2226-4310/10/7/596",
      "https://bearhap.com/collections/synthesizer"
    ],
    "note": "Results referred to airport apron controllers or clothing, not a same-name vocoder, speech, signal-processing, or ML method. This is a scoped collision check, not an exhaustive trademark search."
  }
}