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The simpler, more parsimonious RR is widely used in GS as it often performs as well as more complex models e.g. [ 9, 28], even though RR is known to better capture relatedness [ 12], which complicates the interpretation of its effectiveness.
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We also analyze the capability of SPL regarding its easy loss-prior-embedding property, and provide an insightful interpretation of the effectiveness mechanism under current SPL variations.
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These shortcomings disallowed sufficient interpretation of the effectiveness of interventions.
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