{
  "lecture": "<name>",
  "branch": "<update_branch>",
  "_how": "Fill quantitative values from this lecture's results/*.json (note the source). Answer each structural criterion true/false with a citation to the diff. Then run: python scripts/scoring/score.py references/examples/<name> (from the plugin root). Never type a score — rubric.py computes it. score.py validates this file before scoring and refuses to run until the placeholders below are replaced: baseline_as_used_seconds is null here on purpose (it gates the no-conversion verdict, so it must be measured, not defaulted), and every criterion you set true needs an entry in that dimension's citations.",

  "quantitative": {
    "correctness": {
      "builds": true,
      "max_delta_shipped": 0.0,
      "matches_under_x64": true,
      "source": "results/equivalence*.json — worst max|Δ| as shipped (float32) and under x64; builds=false if any cell raises"
    },
    "readability": {
      "delta_prereq_concepts": 0,
      "docstring_cov_new": 1.0,
      "source": "results/static_metrics.json — (new prereq count - old); new docstring_coverage"
    },
    "efficiency": {
      "as_used_speedup": 1.0,
      "as_used_runs": [],
      "baseline_as_used_seconds": null,
      "correct_or_fixable": true,
      "source": "as_used_total.py via run_all.py — baseline_total / candidate_total over the lecture's real call sequence, median of >=3 fresh-process runs per side. as_used_runs: the per-run speedups (drives the contested-band annotation); leave it [] only to state deliberately that this evaluation scored a single run — omitting the key is rejected. baseline_as_used_seconds: median baseline total (drives the no-conversion floor); must be filled, null is rejected"
    },
    "ergonomics": {
      "statements_for_one_result": 1,
      "fragile_protocol": false,
      "source": "results/static_metrics.json — calls needed to obtain one result; fragile if the call protocol is easy to misuse"
    }
  },

  "structural": {
    "logic_design": {
      "criteria": {
        "pure_no_order_dependence": false,
        "no_global_state": false,
        "good_algorithmic_choices": false,
        "fixes_prior_bugs": false
      },
      "introduces_correctness_bug": false,
      "citations": {}
    },
    "style_idiom": {
      "criteria": {
        "vectorised_where_natural": false,
        "correct_control_flow_primitive": false,
        "no_anti_idiomatic_constructs": false,
        "clean_call_sites_and_naming": false
      },
      "citations": {}
    },
    "maintainability": {
      "criteria": {
        "pure_unit_testable": false,
        "dtype_precision_safe": false,
        "no_footgun_for_editors": false,
        "robust_no_brittle_conditions": false
      },
      "citations": {}
    }
  }
}