{
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    "metadata": "/application-data/prf-solomatov-pred-leaf-aptus-22-7316a566c6ec-r1.metadata.json",
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    "notes": []
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  "siril_estimate": {
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          "note": "descriptive numeric summary only; does not identify optical filtering or physical units"
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          "note": "descriptive numeric summary only; does not identify optical filtering or physical units"
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        {
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          "note": "descriptive numeric summary only; does not identify optical filtering or physical units"
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    "xspd": "Longest uninterrupted native run per channel; no interpolation, padding, rescaling or default replacement. Repeated identical wavelength/value pairs removed.",
    "siril": "Source scales and channel grids retained. Pairs sorted by wavelength and repeated identical wavelength/value pairs removed.",
    "siril_estimated": "Derived relative photon-response model with documented source-quantity assumptions, numeric repairs and shared RGB normalization. Original samples and unknown source metadata are preserved separately."
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  "compatibility": "Format validation does not establish calibration accuracy or a complete optical response.",
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      "created_at": "2026-09-23T00:00:00Z",
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        "evidence_source_ids": [
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        "name": "unknown",
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      "original_normalization_method": "unknown",
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      "response_scale": "unknown",
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      "rights_evidence_source_ids": [
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      "scientific_notes": "Canonical release: native grid and native R/G/B samples are preserved verbatim; sparse cells (wavelengths absent in the upstream CSV / JSON) are preserved as null; the parser never invents a value.",
      "source_author": "Solomatov",
      "source_id": "src-solomatov-predictions-official-2026-09-13",
      "source_uri": "https://github.com/COLOR-Lab-Eilat/Spectral-sensitivity-estimation",
      "uncertainty": null,
      "updated_at": "2026-09-23T00:00:00Z",
      "validation_reason": "This profile is classified as estimated from its source catalog record; it has not undergone independent scientific validation.",
      "validation_status": "unverified",
      "version_date": "2026-09-23",
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      "wavelength_min": 400,
      "wavelength_unit": "nm",
      "wavelengths": [
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    },
    "source": {
      "authors": [
        "Solomatov",
        "Akkaynak"
      ],
      "citation_text": "Solomatov & Akkaynak, ICCP 2023, 'Spectral Sensitivity Estimation Without a Camera', data/predictions/.",
      "data_acquisition_method": "Predictions official = checked-in model outputs in the upstream data/predictions/ directory. NOT a scientific-validation claim; the upstream paper describes the model.",
      "doi": null,
      "known_limitations": [
        "source_category=estimated",
        "permission_status is 'unknown' on the canonical License record (no independent operational clearance granted)."
      ],
      "license_id": "lic-src-solomatov-predictions-official-2026-09-13",
      "measurement_method": null,
      "normalization_method": null,
      "organization": "COLOR-Lab-Eilat",
      "original_wavelength_coverage": {
        "maximum": 700,
        "minimum": 400,
        "unit": "nm"
      },
      "publication": "Solomatov & Akkaynak, ICCP 2023",
      "record_version": 1,
      "repository": "https://github.com/COLOR-Lab-Eilat/Spectral-sensitivity-estimation",
      "retrieved_date": "2026-09-23",
      "rights_notes": "Prediction / model output: the companion arXiv preprint (DOI 10.48550/arXiv.2304.11549) is CC BY 4.0 on paper text only, NOT on the 1012 per-prediction CSV files in data/predictions/. The upstream code license applies to the model; the per-record curve license is not presumed.",
      "schema_version": "0.1.0-draft",
      "source_id": "src-solomatov-predictions-official-2026-09-13",
      "title": "Solomatov & Akkaynak, ICCP 2023, 'Spectral Sensitivity Estimation Without a Camera'",
      "url": "https://github.com/COLOR-Lab-Eilat/Spectral-sensitivity-estimation",
      "version": "e9958089605676c27437ea98665490d40f104d5d",
      "year": 2023
    },
    "license": {
      "attribution_required": null,
      "commercial_api_allowed": null,
      "commercial_use_allowed": null,
      "derivatives_allowed": null,
      "evidence_revision": "e9958089605676c27437ea98665490d40f104d5d",
      "evidence_url": "https://doi.org/10.48550/arXiv.2304.11549",
      "license_id": "lic-src-solomatov-predictions-official-2026-09-13",
      "license_name": null,
      "license_url": null,
      "notes": "Canonical release: observed upstream license text is preserved verbatim on license_name/license_url when available; the operational permission_status is the literal 'unknown' because the owner-updated policy (2026-09-23) revoked the prior bespoke grants. Downstream redistribution requires a fresh per-source review and a new authorization ID.",
      "permission_status": "unknown",
      "record_version": 1,
      "redistribution_allowed": null,
      "reviewed_date": "2026-09-23",
      "rights_holder": "COLOR-Lab-Eilat",
      "schema_version": "0.1.0-draft",
      "share_alike_required": null
    },
    "dataset_version": "recovered-2026-10-01-siril-source-review-v2"
  }
}