{
 "question": "is the L60 collapse lost information or a readout that lost reach",
 "method": "PCA-128 per modality on train images, ridge map image->caption",
 "test_note": "held-out images, same splits and metric as the head-free sweep",
 "results": {
  "L4": {
   "raw_macro": 0.5266,
   "fitted_macro": 0.5071,
   "raw": {
    "add_att": 0.5915,
    "add_obj": 0.5767,
    "replace_att": 0.5575,
    "replace_obj": 0.521,
    "replace_rel": 0.4992,
    "swap_att": 0.5236,
    "swap_obj": 0.4167
   },
   "fitted": {
    "add_att": 0.5246,
    "add_obj": 0.5093,
    "replace_att": 0.4808,
    "replace_obj": 0.4775,
    "replace_rel": 0.4975,
    "swap_att": 0.5079,
    "swap_obj": 0.5521
   }
  },
  "L12": {
   "raw_macro": 0.5153,
   "fitted_macro": 0.5016,
   "raw": {
    "add_att": 0.5528,
    "add_obj": 0.5593,
    "replace_att": 0.528,
    "replace_obj": 0.5341,
    "replace_rel": 0.4877,
    "swap_att": 0.4764,
    "swap_obj": 0.4688
   },
   "fitted": {
    "add_att": 0.507,
    "add_obj": 0.5419,
    "replace_att": 0.5192,
    "replace_obj": 0.508,
    "replace_rel": 0.5237,
    "swap_att": 0.4843,
    "swap_obj": 0.4271
   }
  },
  "L20": {
   "raw_macro": 0.5486,
   "fitted_macro": 0.5008,
   "raw": {
    "add_att": 0.507,
    "add_obj": 0.6209,
    "replace_att": 0.5457,
    "replace_obj": 0.5893,
    "replace_rel": 0.6007,
    "swap_att": 0.5394,
    "swap_obj": 0.4375
   },
   "fitted": {
    "add_att": 0.4789,
    "add_obj": 0.564,
    "replace_att": 0.4926,
    "replace_obj": 0.5196,
    "replace_rel": 0.5548,
    "swap_att": 0.5,
    "swap_obj": 0.3958
   }
  },
  "L28": {
   "raw_macro": 0.5365,
   "fitted_macro": 0.5301,
   "raw": {
    "add_att": 0.5,
    "add_obj": 0.564,
    "replace_att": 0.5546,
    "replace_obj": 0.537,
    "replace_rel": 0.5777,
    "swap_att": 0.5118,
    "swap_obj": 0.5104
   },
   "fitted": {
    "add_att": 0.5704,
    "add_obj": 0.5663,
    "replace_att": 0.5398,
    "replace_obj": 0.4862,
    "replace_rel": 0.5336,
    "swap_att": 0.5039,
    "swap_obj": 0.5104
   }
  },
  "L36": {
   "raw_macro": 0.5366,
   "fitted_macro": 0.5389,
   "raw": {
    "add_att": 0.4472,
    "add_obj": 0.5826,
    "replace_att": 0.5251,
    "replace_obj": 0.5733,
    "replace_rel": 0.6072,
    "swap_att": 0.4685,
    "swap_obj": 0.5521
   },
   "fitted": {
    "add_att": 0.5282,
    "add_obj": 0.593,
    "replace_att": 0.5192,
    "replace_obj": 0.5065,
    "replace_rel": 0.5745,
    "swap_att": 0.5197,
    "swap_obj": 0.5312
   }
  },
  "L44": {
   "raw_macro": 0.5589,
   "fitted_macro": 0.5267,
   "raw": {
    "add_att": 0.5141,
    "add_obj": 0.5488,
    "replace_att": 0.5693,
    "replace_obj": 0.6386,
    "replace_rel": 0.6007,
    "swap_att": 0.5512,
    "swap_obj": 0.4896
   },
   "fitted": {
    "add_att": 0.5176,
    "add_obj": 0.5116,
    "replace_att": 0.5575,
    "replace_obj": 0.5443,
    "replace_rel": 0.5532,
    "swap_att": 0.4921,
    "swap_obj": 0.5104
   }
  },
  "L47": {
   "raw_macro": 0.5655,
   "fitted_macro": 0.5222,
   "raw": {
    "add_att": 0.5246,
    "add_obj": 0.5581,
    "replace_att": 0.5782,
    "replace_obj": 0.6386,
    "replace_rel": 0.6039,
    "swap_att": 0.5551,
    "swap_obj": 0.5
   },
   "fitted": {
    "add_att": 0.507,
    "add_obj": 0.5186,
    "replace_att": 0.5398,
    "replace_obj": 0.5457,
    "replace_rel": 0.5614,
    "swap_att": 0.4724,
    "swap_obj": 0.5104
   }
  },
  "L54": {
   "raw_macro": 0.5841,
   "fitted_macro": 0.5309,
   "raw": {
    "add_att": 0.5915,
    "add_obj": 0.5477,
    "replace_att": 0.6077,
    "replace_obj": 0.6865,
    "replace_rel": 0.6072,
    "swap_att": 0.5276,
    "swap_obj": 0.5208
   },
   "fitted": {
    "add_att": 0.5352,
    "add_obj": 0.5163,
    "replace_att": 0.5398,
    "replace_obj": 0.5922,
    "replace_rel": 0.5565,
    "swap_att": 0.4764,
    "swap_obj": 0.5
   }
  },
  "L60": {
   "raw_macro": 0.51,
   "fitted_macro": 0.5094,
   "raw": {
    "add_att": 0.493,
    "add_obj": 0.4593,
    "replace_att": 0.5192,
    "replace_obj": 0.521,
    "replace_rel": 0.5041,
    "swap_att": 0.563,
    "swap_obj": 0.5104
   },
   "fitted": {
    "add_att": 0.507,
    "add_obj": 0.5163,
    "replace_att": 0.4926,
    "replace_obj": 0.4761,
    "replace_rel": 0.5057,
    "swap_att": 0.5157,
    "swap_obj": 0.5521
   }
  }
 },
 "verdict": "INCONCLUSIVE: the fitted arm fails its own control",
 "control": {
  "requirement": "the fitted readout must at least match head-free centred cosine at L47",
  "l47_head_free": 0.5655,
  "l47_fitted_by_K": {
   "32": 0.496,
   "64": 0.5108,
   "128": 0.5222,
   "256": 0.5318,
   "512": 0.5391
  },
  "note": "best ridge per K was chosen on the test split, so even these are generous, and every one of them still loses to the un-fitted arm. 936 training images is too few to fit a cross-modal map at 5376 dims, so this cannot decide discarded against re-based at L60."
 },
 "n_train_images": 936,
 "n_images": 1560
}