{
  "figure": "fig4_qual",
  "version": "v11",
  "size_inches": [
    5.5,
    3.0
  ],
  "source_script": "scripts/75_fig4_qual_v5.py",
  "metric_name": {
    "macro": "\\name",
    "file": "paper/v5_macros.tex",
    "resolved": "JLD"
  },
  "sources": {
    "results/baselines_fr_tid2013_crop.csv": "02e2976594d82df3e6937b3ceb68fb29875bc3dea77f278f2240268187046e51",
    "results/explore/e06_tid2013_chroma_s2.csv": "6944c3b3dc2327658e1c3f72a03fb857c678b4ab74a3db48c0099649466ee0ec",
    "results/baselines_fr_kadid10k_test_crop.csv": "288e337b278486489ed3d011e5781d61e010d44c3f0f03a35e609dc68aa5b359",
    "results/explore/e06_kadid10k_test_chroma_s2.csv": "5d77ae4e3137c11c9f2d6c477a1c66fb944af1d338a3461a59d98933a4efa65e"
  },
  "caption": "JLD matches MOS on two selected pairs with similar PSNR. Each row shows a reference and two distortions, with shared warm local displacement fields over the distorted photographs. A has the higher recorded human score; the three marks indicate agreement or reversal of this ordering. TID2013 shows chromatic aberration versus local blocks; held-out KADID shows JPEG compression versus colour shift. Both baselines reverse both comparisons, although PSNR differs by less than 0.02 dB within each row. The footer identifies metric symbols and agreement colours. Examples maximise the human-score gap under the stated selection rule and do not estimate population accuracy. Maps share one scale and exclude the global output term; scalar decisions include it.",
  "selection_rule": "For each dataset, enumerate same-reference pairs of different distortion types with MOS(A)>MOS(B) and absolute PSNR difference below 0.02 dB. Require the macro-named metric to prefer A and both DISTS and LPIPS-VGG to prefer B. Choose maximum MOS gap, then minimum PSNR difference, then reference/A/B paths lexicographically. KADID uses only the held-out test split.",
  "examples": [
    {
      "dataset": "tid2013",
      "reference": "data/tid2013/tid2013/reference_images/I19.BMP",
      "reference_sha256": "b8a2ede827d8db21c45f9ca1fb1c043bcec571b5a7243b4ea1aab3fb4feb7e0b",
      "variants": {
        "A": {
          "image": "data/tid2013/tid2013/distorted_images/i19_23_3.bmp",
          "image_sha256": "d0ed509f1c1a63c3fa37b5392495c31ba77dde14023939418902a78cff68da82",
          "crop_xywh": [
            4,
            3,
            504,
            378
          ],
          "distortion_label": "Chroma",
          "distortion_full_name": "chromatic aberrations",
          "distortion_name_source": "jld/interpret.py:TID_TYPE_NAMES",
          "distortion_type": 23,
          "level": 3,
          "type_and_level_source": {
            "file": "results/baselines_fr_tid2013_crop.csv",
            "selector": {
              "dist": "data/tid2013/tid2013/distorted_images/i19_23_3.bmp"
            },
            "columns": [
              "dtype",
              "level"
            ]
          },
          "scores": {
            "human": 5.75676,
            "perjaclens": 0.12327663600444785,
            "dists": 0.0833383202552795,
            "lpips_vgg": 0.1091824471950531,
            "psnr": 24.912696838378903
          },
          "score_sources": {
            "human": {
              "file": "results/baselines_fr_tid2013_crop.csv",
              "selector": {
                "dist": "data/tid2013/tid2013/distorted_images/i19_23_3.bmp"
              },
              "column": "mos"
            },
            "dists": {
              "file": "results/baselines_fr_tid2013_crop.csv",
              "selector": {
                "dist": "data/tid2013/tid2013/distorted_images/i19_23_3.bmp"
              },
              "column": "dists"
            },
            "lpips_vgg": {
              "file": "results/baselines_fr_tid2013_crop.csv",
              "selector": {
                "dist": "data/tid2013/tid2013/distorted_images/i19_23_3.bmp"
              },
              "column": "lpips_vgg"
            },
            "psnr": {
              "file": "results/baselines_fr_tid2013_crop.csv",
              "selector": {
                "dist": "data/tid2013/tid2013/distorted_images/i19_23_3.bmp"
              },
              "column": "psnr"
            },
            "perjaclens": {
              "file": "results/explore/e06_tid2013_chroma_s2.csv",
              "selector": {
                "dist": "data/tid2013/tid2013/distorted_images/i19_23_3.bmp"
              },
              "formula": "D_ws_fe + 0.5 * R_cls_fe",
              "D_ws_fe": 0.1083868592977523,
              "R_cls_fe": 0.0297795534133911
            }
          },
          "displayed_human_score": "5.76",
          "map": {
            "file": "cache/v5_qual/i19_23_3_squared.npy",
            "sha256": "26a9998929ac76519db1775a515341287bec18c3bbde742b86f3255c4931efea",
            "operation": "Elementwise square root of local squared lens displacement",
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            "fit_file": "cache/workspace/dinov2_s14/iso_report_cls_seed0_n100_p8/L1.npz",
            "fit_sha256": "60241430133a2d89669bdc711cc9b5139b42c11011a6bca774d2b3b4160aa3a4",
            "provenance": {
              "image_sha256": "23094d4fdbcba5927da32d9c1af6dc7a28dbb703b32ec3ec3b2f125ff749ede9",
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              "chroma_sigma": 2.0,
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            "includes_global_output_term": false,
            "reconciliation_tolerance": {
              "absolute": 2e-05,
              "relative": 0.0002
            },
            "reconciliation_note": "Original E06 is batched CUDA float32 (scripts/explore/e06_eval.py); maps use CPU float32, without numerical rescaling"
          }
        }
      },
      "reference_crop_xywh": [
        4,
        3,
        504,
        378
      ],
      "metric_verdicts": {
        "perjaclens": {
          "preferred": "A",
          "agrees_with_humans": true,
          "source": "Compare variants.A.scores.perjaclens with variants.B.scores.perjaclens; lower distance is better"
        },
        "dists": {
          "preferred": "B",
          "agrees_with_humans": false,
          "source": "Compare variants.A.scores.dists with variants.B.scores.dists; lower distance is better"
        },
        "lpips_vgg": {
          "preferred": "B",
          "agrees_with_humans": false,
          "source": "Compare variants.A.scores.lpips_vgg with variants.B.scores.lpips_vgg; lower distance is better"
        }
      },
      "human_preferred": "A",
      "human_preferred_source": "Compare recorded MOS values; higher is better in both datasets",
      "selection": {
        "outcome": "success",
        "eligible_candidate_count": 107,
        "candidate_count_source": "enumeration by select_case('kadid10k_test', 'success') in scripts/75_fig4_qual_v5.py",
        "maximum_psnr_difference_db_exclusive": 0.02,
        "psnr_tolerance_source": "Illustration selection criterion, not a measured result",
        "excluded_references": [],
        "ordering": "Maximum positive MOS(A)-MOS(B); then minimum absolute PSNR difference; then reference, A and B paths lexicographically",
        "human_score_gap": 2.2,
        "human_score_gap_source": "variants.A.scores.human minus variants.B.scores.human",
        "psnr_difference_db": 0.01800918579100852,
        "psnr_difference_source": "Absolute difference of variants.A.scores.psnr and variants.B.scores.psnr"
      },
      "panel": 2
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  ],
  "map_colour_range": [
    0,
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  "map_colour_labels": [
    "0",
    "0.86"
  ],
  "map_colour_source": "Zero and maximum over all saved displacement arrays displayed in this figure; no per-image rescaling",
  "display": {
    "field": "Shared warm colour map with opacity proportional to displacement and dark warm contours over the distorted photographs",
    "colour_map": [
      "#fff9ed",
      "#f5d6ad",
      "#e8a25c",
      "#bf5b32",
      "#713326"
    ],
    "maximum_opacity": 0.58,
    "contour_fractions": [
      0.25,
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    "drawing_parameter_source": "Presentation choices, not additional experimental measurements",
    "crop": "Identical native centre crop to multiples of 14 used by the metric; no further crop or image adjustment",
    "score_precision": "Human scores shown to two decimal places; full recorded values and all metric scores retained in examples",
    "marks": "Circle: macro-named metric; square: DISTS; triangle: LPIPS-VGG. Blue agrees with human ordering; orange with white slash reverses it.",
    "repeated_marks": "Agreement concerns A/B ordering and is repeated below both images; A always has the higher human score",
    "map_scope": "Block-1 lens-64 displacement after chroma sigma 2 filtering; global output term excluded",
    "metric_scope": "Decisions use D_ws_fe + 0.5 R_cls_fe, including the global output term"
  },
  "old_figure_review": "Tiny photographic rectangles and detached heatmap rectangles fed a large score table. Repeated labels and a legend dominated the visual hierarchy.",
  "reference_review": {
    "files": [
      "cache/refpapers/anthropic_jacobian_lens.png",
      "cache/refpapers/ddnm_2212.00490_page-05.png"
    ],
    "applied": "Use pictures as evidence, align comparable views, reserve strong colour for the field and verdict, put prose in the caption"
  },
  "layout_audit": {
    "word_count": 24,
    "words": [
      "A",
      "Selected",
      "pairs",
      "at",
      "matched",
      "PSNR",
      "Reference",
      "A",
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      "a",
      "TID",
      "Chroma",
      "Blocks",
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      "KADID",
      "test",
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      "MOS",
      "JLD",
      "DISTS",
      "LPIPS-VGG",
      "agree",
      "reverse"
    ],
    "minimum_font_pt": 6.0,
    "text_overlap": "none",
    "text_photo_overlap": "none",
    "text_outside_canvas": "none",
    "counting_rule": "Alphabetic words including model names; pure numerical values and mathematical symbols excluded"
  },
  "presentation_revision": "Removed selected-example win totals and delta; explicit agree/reverse key, held-out KADID label, matched-PSNR scope.",
  "verdict": {
    "label": "Selected pairs at matched PSNR",
    "word_count": 5,
    "agreement_counts": {
      "perjaclens": 2,
      "dists": 0,
      "lpips_vgg": 0
    },
    "comparison_count": 2,
    "count_source": "examples[*].metric_verdicts[*].agrees_with_humans",
    "scope": "Purposively selected examples only; these counts do not estimate population accuracy"
  },
  "exact_deltas": [
    {
      "metric": "dists",
      "ours_agreements": 2,
      "baseline_agreements": 0,
      "agreement_count_delta": 2,
      "source": "verdict.agreement_counts"
    },
    {
      "metric": "lpips_vgg",
      "ours_agreements": 2,
      "baseline_agreements": 0,
      "agreement_count_delta": 2,
      "source": "verdict.agreement_counts"
    }
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  "paper_table_check": {
    "directory": "paper/tables_v5",
    "finding": "Tables contain aggregate correlations, not these selected MOS pairs; exact pair values checked directly against cited CSV files and retained v8 provenance."
  },
  "visual_iterations": [
    {
      "iteration": 1,
      "critique": "Verdict and counts added; the agreement-key tick glyph was unsupported and column headings did not centre on images."
    },
    {
      "iteration": 2,
      "critique": "Headings centred and agreement key uses supported symbols; numerical advantage still needed beside the JLD count."
    },
    {
      "iteration": 3,
      "revision": "Added blue exact count delta beside JLD; retained even row baselines, centred columns, warm shared scale and bold human winners."
    }
  ],
  "compare_sheet": {
    "current": "/tmp/jlens-v11-review/fig4_qual_compare.png",
    "archive": "/tmp/jlens-v11-review/fig4_qual_iter1_compare.png",
    "reference": "cache/refsheet/dreamsim_p-04.png",
    "iteration": 1,
    "order": [
      "reference",
      "previous",
      "new"
    ],
    "equal_height_pixels": 600,
    "iteration_sheets": [
      "/tmp/jlens-v11-review/fig4_qual_iter1_compare.png"
    ]
  }
}
