We introduce a bias-corrected weighted-logistic (bcw) formulation for ODE models of gene regulatory networks. Each gene’s regulatory function is a single sigmoid of the signed weighted regulator sum , with a combinatorial bias depending only on the in-degree and the steepness . We prove this is the unique single-sigmoid correction recovering the critical-point value of the product-of-logistics model and sharing its canonical equilibrium under self-consistency. The bcw system inherits global well-posedness, an explicit Lipschitz bound, a positively invariant box, and strictly positive basal output. We derive an exact algebraic identity for the discrepancy as a sum over proper non-empty regulator subsets; a slope ratio at the critical point; a curvature mismatch breaking the symmetry for ; a no-go result excluding global equivalence by any state-independent constant; and a mean-field reading of the bias as a zero-order log-sum-exp approximation. At a shared equilibrium the Jacobians satisfy with , giving a stability dichotomy. In the contractive regime both systems converge globally and exponentially to the shared equilibrium at rate . A two-gene self-activating negative-feedback motif illustrates the theory: the bcw form undergoes Hopf bifurcation at of the product threshold and sustains limit cycles where the product is linearly stable, with eigenvalue amplification factor .

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