Let $\lambda_n \in [0,1]$, and let $a_n \in (0,\frac{1}{4}),b_n \in [\frac{1}{4},\infty)$ satisfy the relation that the convex combination $$\lambda_n a_n+(1-\lambda_n)b_n=c > \frac{1}{4} \tag{1}$$ is a constant which does not depend on $n$.
Define $F:[0, \infty) \to \mathbb R$ by $$F(s) := \begin{cases} 1-2s, & \text{ if }\, s \le \frac{1}{4} \\ 2(\sqrt{s}-1)^2, & \text{ if }\, s \ge \frac{1}{4} \end{cases} $$
$F \in C^1$ is convex as its derivative $$F'(s)=\begin{cases} -2, & s\le\frac{1}{4}, \\ 2\left(1-\frac1{\sqrt{s}}\right), & s\geq\frac14 \end{cases}$$ is non-decreasing.
Now, suppose that $$ D_n:=F\big(\lambda_n a_n +(1-\lambda_n)b_n\big)-\lambda_nF(a_n)-(1-\lambda_n)F(b_n) \to 0 $$ when $n \to \infty$.
Question: I is true that $\lambda_n \to 0$?
There are two steps which needs to be done:
Moving the estimate on the convexity gap into the strictly convex region $[1/4,\infty)$.
Deducing that every convergent subsequence of $\lambda_n$ converges to $0$ or to $1$. (since $\lambda_n(1-\lambda_n)$ should be small-see strongly convex functions).
The constraint $(1)$ can be satisfied either when $\lambda_n \to 0$ or when $\lambda_n \to 1$. In the latter case, we must have $b_n \to \infty$.
This should imply that must have passed through a large region where $f$ is strongly convex, thus the convexity gap $D_n$ is large, which is a contradiction.
I think that there should be a (relatively) simple conceptual argument based on strong convexity properties of $F$ that establishes that. Note that $F$ is not twice differentiable at $\frac{1}{4}$, and that $\lim_{x \to \infty} F''(x)=0$, so $F$ becomes less convex when we get far away.