{"claim":{"id":"ffc49e32-0921-403e-92dc-26959f503268","submission_id":"a34d2154-e24a-475e-9770-444d1b38ea1f","submission_revision_id":"f12d06d9-1671-4d7c-9e12-47a2616c7100","builder":"builder-01","status":"active","claimed_at":"2026-10-15T16:22:03.351991Z","delivered_at":null,"ended_at":null,"delivery_note":null,"end_reason":null},"task":{"submission_id":"a34d2154-e24a-475e-9770-444d1b38ea1f","submission_revision_id":"f12d06d9-1671-4d7c-9e12-47a2616c7100","revision_version":3,"submission_status":"under_review","submitted_at":"2026-10-14T23:20:38.035888Z","submitter_name":"Xiaojun WU","submitter_email":"wushawn1994@gmail.com","task":{"status":"submitted","version":3,"extra_fields":{"difficulty_self_test":{"model":"GPT-6 Astra","harness":"Codex","estimated_score":"<1%"}},"submitted_at":"2026-10-14T23:20:38.035888+00:00","industry_domain":"Semiconductor Manufacturing / Materials Metrology","task_short_name":"sic_epitaxial_layer_thickness","operating_system":"Linux, MacOS","task_description":"Objective: Determine the epitaxial-layer thickness of a silicon-carbide (SiC) wafer and of a silicon (Si) wafer from measured infrared interference (reflectance) spectra taken at two incidence angles, taking multi-beam interference into account.\n\nStarting State: The input materials contain four measured reflectance spectra as Excel files in `attachments/`, and two figures in `figures/`:\n\n- `attachments/SiC_10deg.xlsx` and `attachments/SiC_15deg.xlsx` — reflectance (%) versus wavenumber (cm⁻¹) for the same SiC wafer at incidence angles 10° and 15°.\n- `attachments/Si_10deg.xlsx` and `attachments/Si_15deg.xlsx` — reflectance (%) versus wavenumber (cm⁻¹) for the same Si wafer at incidence angles 10° and 15°.\n- `figures/two_beam_interference.png`, `figures/multi_beam_interference.png` — schematics of two-beam and multi-beam interference.\n\nInstructions & Rules: Build a model that relates the interference fringes in a reflectance spectrum to the epitaxial-layer thickness, allowing for the fact that the layer refractive index is not constant (it depends on the doping carrier concentration and on wavelength). Determine the SiC and Si epitaxial-layer thicknesses, derive the condition under which multi-beam interference becomes significant, decide whether it is present in each wafer's data, and correct for it where present. Write the final numeric answer to `sic_epitaxial_thickness_results.json` with keys `sic_thickness_um`, `si_thickness_um`, and `multi_beam_samples`. Report both thicknesses in micrometres with at least four significant figures. The first column of each spectrum file is wavenumber in cm⁻¹ and the second is reflectance in percent.\n\nDo not use any online solution or task-specific hint. Derive the thicknesses from the supplied spectra.\n\nRequired Output: A single JSON file `sic_epitaxial_thickness_results.json` in the working directory:\n\n```json\n{\n  \"sic_thickness_um\": <number>,\n  \"si_thickness_um\": <number>,\n  \"multi_beam_samples\": [<string>, ...]\n}\n```","software_licensing":"Free/Open Source","evaluation_criteria":null,"verification_method":"The final output must be a JSON file named `sic_epitaxial_thickness_results.json`.\n\nUse these strict checks:\n\n1. The file must be valid JSON containing exactly these keys and no others: `sic_thickness_um`, `si_thickness_um`, `multi_beam_samples`.\n2. `sic_thickness_um` and `si_thickness_um` must each be a finite positive number, reported in micrometres (μm). Values in other units are rejected unless converted to micrometres.\n3. `sic_thickness_um` must be within `3%` relative error of the reference value `7.604` μm.\n4. `si_thickness_um` must lie in the physical sanity range `3.0`–`4.8` μm (not precision-gated; see `reference_output/DERIVATION.md`).\n5. `multi_beam_samples` must be a JSON array whose set of case-insensitive elements is exactly `{\"Si\"}`.\n6. The answer is accepted only if checks 3, 4, and 5 all pass.","software_and_version":"Python 3.12 with NumPy, SciPy, pandas, and openpyxl","specific_requirements":null,"expected_completion_time":null},"files":[{"file_id":"ec9a2871-ee48-4141-9d4c-c34d789cfa41","filename":"input_materials.zip","category":"input_materials","content_type":"application/zip","size_bytes":845652},{"file_id":"ba4ddcd4-bf17-4ff4-b317-07cb060f5082","filename":"reference_output.zip","category":"reference_output","content_type":"application/zip","size_bytes":11260},{"file_id":"043ade67-461e-40ba-a646-9de37f240014","filename":"evidence.zip","category":"difficulty_self_test_evidence","content_type":"application/zip","size_bytes":67439}],"deep_review":{"overall_verdict":"Strong Accept","review_text":"**Overall Verdict:** Strong Accept — The submission is complete, coherent, safely inspectable, and objectively evaluable end to end.\n\n**Completeness Check:**\n- Instruction: Complete — Clearly defines the interference-modeling objective, required JSON schema, units, and handling of multi-beam effects.\n- Inputs: Complete — Four readable Excel spectra with stated columns and units, plus two valid schematic PNGs.\n- Toolchain: Complete — Python, NumPy, SciPy, pandas, and openpyxl provide a legally obtainable single-machine workflow without credentials or network access.\n- Reference output: Complete — Includes the exact JSON contract, reference values, derivation, sensitivity analysis, and evaluator-facing outputs.\n- Rubric: Complete — Specifies exact keys, finite positive values, SiC tolerance, Si sanity bounds, and case-insensitive multi-beam matching.\n\n**File and Task Reachability:**\nAttachment classification: `reachable`. Task classification: `reachable`. I inspected the four Excel files (`SiC_10deg.xlsx`, `SiC_15deg.xlsx`, `Si_10deg.xlsx`, `Si_15deg.xlsx`), `TASK.md`, `INDEX.md`, both schematic PNGs, all reference-output files, and all difficulty-evidence files. The ZIP containers were readable, unencrypted, and free of unsafe archive paths; the workbooks are valid OOXML files with consistent worksheet structure, headers, and approximately 7,469 numeric records each. Submitted derivation and self-test outputs were reviewed, but uploaded scripts were not executed; Python execution was unavailable in this review runtime, so fitting results were not independently recomputed. No required attachment was inaccessible, and no material content remained unreviewed.\n\nThe input-to-output path is practical: a contributor can read the spectra, fit dispersive two-beam/Airy models, classify multi-beam behavior, and write the exact JSON artifact for automated evaluation. License keys, accounts, tokens, and other credentials are not required from the contributor. Confidential, proprietary, or internal material may be evaluated as submitted evidence without requiring additional disclosure.\n\n**Special Screening:**\nNone — the evidence does not affirmatively establish AI-synthetic core data, a publicly identifiable benchmark, or a synthetic defect fixture. Historical-looking workbook metadata is insufficient to assign a public-benchmark label.\n\n**Recommended Changes:**\nThe submission already provides authentic-looking usable inputs, a reproducible reference derivation, and objective acceptance checks. No changes are required.","reviewed_at":"2026-10-14T23:26:15.124764Z"},"claim":{"id":"ffc49e32-0921-403e-92dc-26959f503268","submission_id":"a34d2154-e24a-475e-9770-444d1b38ea1f","submission_revision_id":"f12d06d9-1671-4d7c-9e12-47a2616c7100","builder":"builder-01","status":"active","claimed_at":"2026-10-15T16:22:03.351991Z","delivered_at":null,"ended_at":null,"delivery_note":null,"end_reason":null}},"revision_is_current":true}