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@@ -47,8 +47,8 @@ samples = {
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"truth": np.load("output/aggregates_lena_age24_human.npz"),
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"lena_raw": np.load("output/aggregates_lena_age24_algo.npz"),
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"vtc_raw": np.load("output/aggregates_vtc_age24_algo.npz"),
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- # "lena_calibrated": np.load("output/aggregates_lena_dev_siblings_effect.npz"),
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- # "vtc_calibrated": np.load("output/aggregates_vtc_dev_siblings_effect.npz"),
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+ "lena_raw_algo_only": np.load("output/aggregates_lena_age24_algo_only.npz"),
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+ "vtc_raw_algo_only": np.load("output/aggregates_vtc_age24_algo_only.npz"),
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"lena_calibrated": np.load(
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"output/aggregates_lena_age24_dev_siblings_binomial_hurdle_fast.npz"
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),
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@@ -64,6 +64,8 @@ labels = {
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"truth": "Manual annotations",
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"lena_raw": "LENA (uncalibrated)",
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"vtc_raw": "VTC (uncalibrated)",
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+ "lena_raw_algo_only": "LENA (uncalibrated, algo only)",
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+ "vtc_raw_algo_only": "VTC (uncalibrated, algo only)",
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"lena_calibrated": "LENA (calibrated)",
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"vtc_calibrated": "VTC (calibrated)",
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}
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