{"abstract":"Unequal component amplitudes bias ML upward.","category":"Seismic magnitude estimation","checks":8,"contract":"Zero-to-peak Wood-Anderson amplitudes on two horizontal components in mm (0 = dead channel, ignored; both dead returns None). -log A0 is linearly interpolated from [(0,1.4),(10,1.5),(20,1.7),(30,2.1),(50,2.6),(100,3.0),(200,3.5),(300,4.0),(400,4.5),(600,5.1)] with 0 <= dist <= 600 inclusive, else None. ML = mean of per-component log10 amplitudes + (-log A0), rounded 0.01.","contract_signature":"amp_n_mm, amp_e_mm, dist_km","evaluation_group":"w2-seismic_magnitude_estimation-richter-a0-table","failed_approach":"Using the larger component alone biases ML upward.","family":"w2-seismic_magnitude_estimation-richter-a0-table-log-domain-component-average","id":"FA-71701","implementations":{"attempt":{"sha256":"3707fb5ce4ae61fa2f8b2cfd42f4e49a4e36cf77a5d3e9ddb2008d240ca80680","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nN = 1\nobservations = []\ndef solve(amp_n_mm, amp_e_mm, dist_km):\n    table = [(0, 1.4), (10, 1.5), (20, 1.7), (30, 2.1), (50, 2.6), (100, 3.0), (200, 3.5), (300, 4.0), (400, 4.5), (600, 5.1)]\n    if dist_km < 0 or dist_km > 600:\n        return None\n    comps = [a for a in (amp_n_mm, amp_e_mm) if a > 0]\n    if not comps:\n        return None\n    corr = None\n    for (d0, c0), (d1, c1) in zip(table, table[1:]):\n        if d0 <= dist_km <= d1:\n            corr = c0 + (c1 - c0) * (dist_km - d0) / (d1 - d0)\n            break\n    logs = [math.log10(max(comps))]\n    return round(sum(logs) / len(logs) + corr, 2)\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['N 1.0 mm E 1.0 mm at 0 km', [1.0, 1.0, 0], 1.4], ['N 1.0 mm E 1.0 mm at 5 km', [1.0, 1.0, 5], 1.45], ['N 1.0 mm E 1.0 mm at 10 km', [1.0, 1.0, 10], 1.5], ['N 1.0 mm E 1.0 mm at 25 km', [1.0, 1.0, 25], 1.9], ['N 1.0 mm E 1.0 mm at 50 km', [1.0, 1.0, 50], 2.6], ['N 1.0 mm E 1.0 mm at 75 km', [1.0, 1.0, 75], 2.8], ['N 0.2 mm E 5.0 mm at 0 km', [0.2, 5.0, 0], 1.4], ['N 0.2 mm E 5.0 mm at 5 km', [0.2, 5.0, 5], 1.45]], [['N 1.0 mm E 1.0 mm at 600 km', [1.0, 1.0, 600], 5.1], ['N 1.0 mm E 1.0 mm at 650 km', [1.0, 1.0, 650], None], ['N 0.2 mm E 5.0 mm at 0 km', [0.2, 5.0, 0], 1.4], ['N 0.2 mm E 5.0 mm at 5 km', [0.2, 5.0, 5], 1.45], ['N 0.2 mm E 5.0 mm at 10 km', [0.2, 5.0, 10], 1.5], ['N 0.2 mm E 5.0 mm at 25 km', [0.2, 5.0, 25], 1.9], ['N 0.2 mm E 5.0 mm at 50 km', [0.2, 5.0, 50], 2.6], ['N 0.2 mm E 5.0 mm at 150 km', [0.2, 5.0, 150], 3.25]], [['N 0.2 mm E 5.0 mm at 75 km', [0.2, 5.0, 75], 2.8], ['N 0.2 mm E 5.0 mm at 150 km', [0.2, 5.0, 150], 3.25], ['N 0.2 mm E 5.0 mm at 600 km', [0.2, 5.0, 600], 5.1], ['N 0.2 mm E 5.0 mm at 650 km', [0.2, 5.0, 650], None], ['N 12.0 mm E 0.0 mm at 0 km', [12.0, 0.0, 0], 2.48], ['N 12.0 mm E 0.0 mm at 5 km', [12.0, 0.0, 5], 2.53], ['N 12.0 mm E 0.0 mm at 10 km', [12.0, 0.0, 10], 2.58], ['N 0.05 mm E 0.08 mm at 25 km', [0.05, 0.08, 25], 0.7]], [['N 12.0 mm E 0.0 mm at 25 km', [12.0, 0.0, 25], 2.98], ['N 12.0 mm E 0.0 mm at 50 km', [12.0, 0.0, 50], 3.68], ['N 12.0 mm E 0.0 mm at 75 km', [12.0, 0.0, 75], 3.88], ['N 12.0 mm E 0.0 mm at 150 km', [12.0, 0.0, 150], 4.33], ['N 12.0 mm E 0.0 mm at 600 km', [12.0, 0.0, 600], 6.18], ['N 12.0 mm E 0.0 mm at 650 km', [12.0, 0.0, 650], None], ['N 0.05 mm E 0.08 mm at 5 km', [0.05, 0.08, 5], 0.25], ['N 30.0 mm E 8.0 mm at 0 km', [30.0, 8.0, 0], 2.59]], [['N 0.0 mm E 0.0 mm at 5 km', [0.0, 0.0, 5], None], ['N 0.0 mm E 0.0 mm at 10 km', [0.0, 0.0, 10], None], ['N 0.0 mm E 0.0 mm at 25 km', [0.0, 0.0, 25], None], ['N 0.0 mm E 0.0 mm at 50 km', [0.0, 0.0, 50], None], ['N 0.0 mm E 0.0 mm at 75 km', [0.0, 0.0, 75], None], ['N 0.0 mm E 0.0 mm at 150 km', [0.0, 0.0, 150], None], ['N 0.05 mm E 0.08 mm at 50 km', [0.05, 0.08, 50], 1.4], ['N 30.0 mm E 8.0 mm at 75 km', [30.0, 8.0, 75], 3.99]]]\nfor label, args, expected in fixtures[N - 1]:\n    check(label, solve(*args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"},"broken":{"sha256":"c09d4e450eba19d9513e6a80c8497b7fc2268b57cfaf775fa8129bdf79a760cb","source":"\"\"\"Failure Map reference implementation. Python standard library only.\"\"\"\nimport json\nimport math\nN = 1\nobservations = []\ndef solve(amp_n_mm, amp_e_mm, dist_km):\n    table = [(0, 1.4), (10, 1.5), (20, 1.7), (30, 2.1), (50, 2.6), (100, 3.0), (200, 3.5), (300, 4.0), (400, 4.5), (600, 5.1)]\n    if dist_km < 0 or dist_km > 600:\n        return None\n    comps = [a for a in (amp_n_mm, amp_e_mm) if a > 0]\n    if not comps:\n        return None\n    corr = None\n    for (d0, c0), (d1, c1) in zip(table, table[1:]):\n        if d0 <= dist_km <= d1:\n            corr = c0 + (c1 - c0) * (dist_km - d0) / (d1 - d0)\n            break\n    logs = [math.log10(sum(comps) / len(comps))]\n    return round(sum(logs) / len(logs) + corr, 2)\ndef check(label, actual, expected):\n    observations.append({\"check\": label, \"actual\": actual, \"expected\": expected, \"passed\": actual == expected})\nfixtures = [[['N 1.0 mm E 1.0 mm at 0 km', [1.0, 1.0, 0], 1.4], ['N 1.0 mm E 1.0 mm at 5 km', [1.0, 1.0, 5], 1.45], ['N 1.0 mm E 1.0 mm at 10 km', [1.0, 1.0, 10], 1.5], ['N 1.0 mm E 1.0 mm at 25 km', [1.0, 1.0, 25], 1.9], ['N 1.0 mm E 1.0 mm at 50 km', [1.0, 1.0, 50], 2.6], ['N 1.0 mm E 1.0 mm at 75 km', [1.0, 1.0, 75], 2.8], ['N 0.2 mm E 5.0 mm at 0 km', [0.2, 5.0, 0], 1.4], ['N 0.2 mm E 5.0 mm at 5 km', [0.2, 5.0, 5], 1.45]], [['N 1.0 mm E 1.0 mm at 600 km', [1.0, 1.0, 600], 5.1], ['N 1.0 mm E 1.0 mm at 650 km', [1.0, 1.0, 650], None], ['N 0.2 mm E 5.0 mm at 0 km', [0.2, 5.0, 0], 1.4], ['N 0.2 mm E 5.0 mm at 5 km', [0.2, 5.0, 5], 1.45], ['N 0.2 mm E 5.0 mm at 10 km', [0.2, 5.0, 10], 1.5], ['N 0.2 mm E 5.0 mm at 25 km', [0.2, 5.0, 25], 1.9], ['N 0.2 mm E 5.0 mm at 50 km', [0.2, 5.0, 50], 2.6], ['N 0.2 mm E 5.0 mm at 150 km', [0.2, 5.0, 150], 3.25]], [['N 0.2 mm E 5.0 mm at 75 km', [0.2, 5.0, 75], 2.8], ['N 0.2 mm E 5.0 mm at 150 km', [0.2, 5.0, 150], 3.25], ['N 0.2 mm E 5.0 mm at 600 km', [0.2, 5.0, 600], 5.1], ['N 0.2 mm E 5.0 mm at 650 km', [0.2, 5.0, 650], None], ['N 12.0 mm E 0.0 mm at 0 km', [12.0, 0.0, 0], 2.48], ['N 12.0 mm E 0.0 mm at 5 km', [12.0, 0.0, 5], 2.53], ['N 12.0 mm E 0.0 mm at 10 km', [12.0, 0.0, 10], 2.58], ['N 0.05 mm E 0.08 mm at 25 km', [0.05, 0.08, 25], 0.7]], [['N 12.0 mm E 0.0 mm at 25 km', [12.0, 0.0, 25], 2.98], ['N 12.0 mm E 0.0 mm at 50 km', [12.0, 0.0, 50], 3.68], ['N 12.0 mm E 0.0 mm at 75 km', [12.0, 0.0, 75], 3.88], ['N 12.0 mm E 0.0 mm at 150 km', [12.0, 0.0, 150], 4.33], ['N 12.0 mm E 0.0 mm at 600 km', [12.0, 0.0, 600], 6.18], ['N 12.0 mm E 0.0 mm at 650 km', [12.0, 0.0, 650], None], ['N 0.05 mm E 0.08 mm at 5 km', [0.05, 0.08, 5], 0.25], ['N 30.0 mm E 8.0 mm at 0 km', [30.0, 8.0, 0], 2.59]], [['N 0.0 mm E 0.0 mm at 5 km', [0.0, 0.0, 5], None], ['N 0.0 mm E 0.0 mm at 10 km', [0.0, 0.0, 10], None], ['N 0.0 mm E 0.0 mm at 25 km', [0.0, 0.0, 25], None], ['N 0.0 mm E 0.0 mm at 50 km', [0.0, 0.0, 50], None], ['N 0.0 mm E 0.0 mm at 75 km', [0.0, 0.0, 75], None], ['N 0.0 mm E 0.0 mm at 150 km', [0.0, 0.0, 150], None], ['N 0.05 mm E 0.08 mm at 50 km', [0.05, 0.08, 50], 1.4], ['N 30.0 mm E 8.0 mm at 75 km', [30.0, 8.0, 75], 3.99]]]\nfor label, args, expected in fixtures[N - 1]:\n    check(label, solve(*args), expected)\nprint(json.dumps({\"observations\": observations, \"passed\": all(x[\"passed\"] for x in observations)}, ensure_ascii=False))\nraise SystemExit(0 if all(x[\"passed\"] for x in observations) else 1)\n"}},"limitations":"Stipulated deterministic teaching model of a seismological magnitude procedure; constants and tables are fixed by the contract and no claim of agency or standards conformance is made. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.","method":"Deterministic executable model with adversarial boundary fixtures.","provenance":{"created_by":"Failure Map","dependencies":"Python standard library","family":"w2-seismic_magnitude_estimation-richter-a0-table-log-domain-component-average","generated_at":"2026-09-29T14:48:31.982540+00:00","license":"CC0-1.0","python":"3.12.14","seed":1,"split":"open-access"},"relevance":"Classic ML reproduces Richter tables for historical catalogue homogenisation.","root_cause":"Amplitudes are averaged linearly before the logarithm.","sha256":"5caf2938030b4e7544828472aa55596f227996d4bf6561a261c4abd758c95933","title":"Richter -log A0 table magnitude: log-domain component average · case 01","variant":1,"variant_policy":"Five numbered records share a model and may reuse boundary fixtures.","verified":true,"visibility":"public","verification":{"attempt":{"elapsed_ms":40.824,"exit_code":1,"observations":[{"actual":1.4,"check":"N 1.0 mm E 1.0 mm at 0 km","expected":1.4,"passed":true},{"actual":1.45,"check":"N 1.0 mm E 1.0 mm at 5 km","expected":1.45,"passed":true},{"actual":1.5,"check":"N 1.0 mm E 1.0 mm at 10 km","expected":1.5,"passed":true},{"actual":1.9,"check":"N 1.0 mm E 1.0 mm at 25 km","expected":1.9,"passed":true},{"actual":2.6,"check":"N 1.0 mm E 1.0 mm at 50 km","expected":2.6,"passed":true},{"actual":2.8,"check":"N 1.0 mm E 1.0 mm at 75 km","expected":2.8,"passed":true},{"actual":2.1,"check":"N 0.2 mm E 5.0 mm at 0 km","expected":1.4,"passed":false},{"actual":2.15,"check":"N 0.2 mm E 5.0 mm at 5 km","expected":1.45,"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"N 1.0 mm E 1.0 mm at 0 km\", \"actual\": 1.4, \"expected\": 1.4, \"passed\": true}, {\"check\": \"N 1.0 mm E 1.0 mm at 5 km\", \"actual\": 1.45, \"expected\": 1.45, \"passed\": true}, {\"check\": \"N 1.0 mm E 1.0 mm at 10 km\", \"actual\": 1.5, \"expected\": 1.5, \"passed\": true}, {\"check\": \"N 1.0 mm E 1.0 mm at 25 km\", \"actual\": 1.9, \"expected\": 1.9, \"passed\": true}, {\"check\": \"N 1.0 mm E 1.0 mm at 50 km\", \"actual\": 2.6, \"expected\": 2.6, \"passed\": true}, {\"check\": \"N 1.0 mm E 1.0 mm at 75 km\", \"actual\": 2.8, \"expected\": 2.8, \"passed\": true}, {\"check\": \"N 0.2 mm E 5.0 mm at 0 km\", \"actual\": 2.1, \"expected\": 1.4, \"passed\": false}, {\"check\": \"N 0.2 mm E 5.0 mm at 5 km\", \"actual\": 2.15, \"expected\": 1.45, \"passed\": false}], \"passed\": false}\n"},"broken":{"elapsed_ms":41.81,"exit_code":1,"observations":[{"actual":1.4,"check":"N 1.0 mm E 1.0 mm at 0 km","expected":1.4,"passed":true},{"actual":1.45,"check":"N 1.0 mm E 1.0 mm at 5 km","expected":1.45,"passed":true},{"actual":1.5,"check":"N 1.0 mm E 1.0 mm at 10 km","expected":1.5,"passed":true},{"actual":1.9,"check":"N 1.0 mm E 1.0 mm at 25 km","expected":1.9,"passed":true},{"actual":2.6,"check":"N 1.0 mm E 1.0 mm at 50 km","expected":2.6,"passed":true},{"actual":2.8,"check":"N 1.0 mm E 1.0 mm at 75 km","expected":2.8,"passed":true},{"actual":1.81,"check":"N 0.2 mm E 5.0 mm at 0 km","expected":1.4,"passed":false},{"actual":1.86,"check":"N 0.2 mm E 5.0 mm at 5 km","expected":1.45,"passed":false}],"passed":false,"stderr":"","stdout":"{\"observations\": [{\"check\": \"N 1.0 mm E 1.0 mm at 0 km\", \"actual\": 1.4, \"expected\": 1.4, \"passed\": true}, {\"check\": \"N 1.0 mm E 1.0 mm at 5 km\", \"actual\": 1.45, \"expected\": 1.45, \"passed\": true}, {\"check\": \"N 1.0 mm E 1.0 mm at 10 km\", \"actual\": 1.5, \"expected\": 1.5, \"passed\": true}, {\"check\": \"N 1.0 mm E 1.0 mm at 25 km\", \"actual\": 1.9, \"expected\": 1.9, \"passed\": true}, {\"check\": \"N 1.0 mm E 1.0 mm at 50 km\", \"actual\": 2.6, \"expected\": 2.6, \"passed\": true}, {\"check\": \"N 1.0 mm E 1.0 mm at 75 km\", \"actual\": 2.8, \"expected\": 2.8, \"passed\": true}, {\"check\": \"N 0.2 mm E 5.0 mm at 0 km\", \"actual\": 1.81, \"expected\": 1.4, \"passed\": false}, {\"check\": \"N 0.2 mm E 5.0 mm at 5 km\", \"actual\": 1.86, \"expected\": 1.45, \"passed\": false}], \"passed\": false}\n"}},"member_only":{"stages":["fixed"],"fields":["implementations.fixed","verification.fixed","harness","repair"],"note":"The verified repair, its recorded checks, the repair description, and the scoring harness are available to members."}}