Among the LM models, the Combined model, which integrates all four parameter categories, achieved the highest overall predictive power ( R 2 = 0.467, p = 3.9 × 10 −7 ), followed closely by the biomarker‐only model ( R 2 = 0.430, p = 1.3 × 10 −8 ), whereas motility and morphology models contributed minimally and did not reach statistical significance.
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Capacitation-Induced Zinc Ion Flux and Sperm Plasma Membrane Remodeling Predict Porcine In Vitro Fertilization Cleavage Success.
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Overall, the combined model explained 46.86% of the variance and was highly significant, as visualized in Figure 6 .