{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 05 \u2014 Recovery test\n",
    "\n",
    "Week 4 (PLAN.md \u00a76). **Commit the pre-registered success criteria to git BEFORE running this notebook** (PLAN.md \u00a78, \u00a710).\n\nPull hydroxyurea + L-glutamine ranks and 5 negative-control ranks, compute pass/fail, examine the top 10, and fill in `docs/recovery_test_report.md`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.insert(0, '..')  # import the src package from notebooks/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from src import RESULTS_DIR\n",
    "\n",
    "ranking = pd.read_csv(RESULTS_DIR / 'ranked_candidates_v1.csv')\n",
    "# Pull ground-truth + negative-control ranks; evaluate pre-registered criteria."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}