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{
"protocol": "Both fields split into an additive row/column-mean model and its residual, then correlated component by component. Hidden pairs are read only to align the two fields.",
"label": "natural",
"size": 256,
"rows": [
{
"component": "raw field",
"correlation": 0.6558829559111284
},
{
"component": "degree model only",
"correlation": 0.22252881188815218
},
{
"component": "residual after degree",
"correlation": 0.6709906297296612
},
{
"component": "residual after top-1 eigen",
"correlation": 0.4579725907578625
},
{
"component": "residual after top-2 eigen",
"correlation": 0.4555001418827857
},
{
"component": "residual after top-5 eigen",
"correlation": 0.3413229646188751
},
{
"component": "residual after top-10 eigen",
"correlation": 0.07969017846523709
}
],
"visual_degree_variance_share": 0.009036045331312099,
"text_degree_variance_share": 0.04921092158161093,
"it_threshold_at_size": 0.29435250562886867,
"residual_above_it_threshold": true,
"reading": "If the residual correlation is far below the raw correlation, the headline statistic is inflated by nuisance structure that carries no matching information, and the residual is the number that should be compared against the recovery threshold."
}
|
