{
  "id": "corrective-repeat",
  "story": "rgba-game-learning-docs-corrective-learning",
  "title": "The repeat preserved the candidate result",
  "unit": "successful trials / 10",
  "rows": [
    {
      "label": "Retraining control",
      "value": 5,
      "highlight": false
    },
    {
      "label": "Candidate",
      "value": 10,
      "highlight": true
    }
  ],
  "sources": [
    {
      "path": "rgba-game-learning/docs/evidence/corrective-learning/reproduction/paired-summary.json",
      "url": "https://github.com/groxaxo/experimentos/blob/6550ead3945b7ecacbaac1e0767edc49a9de9747/rgba-game-learning/docs/evidence/corrective-learning/reproduction/paired-summary.json",
      "sha256": "31d002ed3c4a50a5b5885c65e05d1fda41ad71662eb013a438693e7b4722d53c"
    }
  ],
  "revision": "6550ead3945b7ecacbaac1e0767edc49a9de9747",
  "scope": "Ubuntu CPU · repeated set · newly retrained control",
  "caveat": "One level and nearby starts, not broad game competence. The control had different weights and reached 5/10. Repeating a set adds no new holdout trials.",
  "kind": "bar",
  "maximum": 10,
  "threshold": 10,
  "decimals": 0,
  "origin": "structured measurements"
}