It does not matter whether the camera is consumer-level or not. As long as the scene is captured without clipping on highlight specular reflection, then the saturated colors are not clipped too. The clipping and posterization in these cases is caused by development processes like profile\curves etc.
What are profile curves doing? Correcting for luminance within each RGB channel that has blown out detail as in the OP's red color example while the rest of the scene looks correctly exposed. Why wouldn't a profile curve be able to fix that on a consistent basis after building a profile from a target?
The camera profile is suppose to be characterizing how the entire camera system records properly exposed scenes, but for some reason just can't anticipate saturated color detail from blowing out.
This points to the scene non-linearity (hot spots in mid-range saturated color detail) behavior I described with the gain rate behavior. Highlights are easy to anticipate with software because all channels are usually of equal luminance depending on the actual white balance of the scene. If the actual white balance of the scene is around 2800K instead of the established neutral D50 then those hot spot mid-range colors get really thrown out of proportion.
It doesn't explain why mid-range vibrant colors have their channels like green and red blow out as if they are acting as clipped highlights but don't show this clipping on a luminance only histogram.
I've attempted to shoot saturated orange flowers lit by the sun just above horizon and I have to under expose so much shooting Raw my camera's histogram highlight peak is in the middle. The point curve I had to come up with in Adobe Camera Raw no camera profile could build just from measuring a target.
The orange flower image came out perfect but not because of a camera profile. Something was bombarding that camera sensor to require I underexpose by half of my camera's dynamic range that a camera profile could not fix. What was it?