Symbol T_c
is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →Published equation contexts
Why this formula appears here
Define the channel-attributable transfer rate for exposure class c\{V,H\} as = . This is a direct borrowing from the attributable-risk fraction used in outbreak epidemiology, where it measures what share of disease in an exposed group would disappear if the exposure were removed; here it measures what share of a model’s trait incidence would disappear if its exposure to the source artifact were removed, holding everything else about the model constant. =0 means the exposed class shows the trait no more often than baseline: no signal. =1 means every trait-negative case in the exposed class would have been positive under full exposure: the strongest…
Read the representative guide
Symbol bar I_c
bar occurs above the fraction bar. The numerator is divided by the entire denominator below it.
Read this term in its guide →Symbol I_0
the article’s single most important number, because it is the rate at which the trait shows up in models that never touched the source at all — the convergence baseline , the rate any theory of pure coincidence has to beat.
Read this term in its guide →Denominator: 1-I_0
The complete quantity below the fraction bar; it must be nonzero for this division.
Read this term in its guide →How to interpret it
With a fixed numerator, increasing a nonzero denominator reduces the fraction. Read it with the definitions, units, and assumptions supplied by the article.
Published contexts (1)
A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.
Equation 22 · Evolutionary AI
A Chatbot Confessed to Being Built by a Company That Never Trained It
This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.
Define the channel-attributable transfer rate for exposure class c\{V,H\} as = . This is a direct borrowing from the attributable-risk fraction used in outbreak epidemiology, where it measures what share of disease in an exposed group would disappear if the exposure were removed; here it measures what share of a model’s trait incidence would disappear if its exposure to the source artifact were removed, holding everything else about the model constant. =0 means the exposed class shows the trait no more often than baseline: no signal. =1 means every trait-negative case in the exposed class would have been positive under full exposure: the strongest…
Meanings in this article
- : the article’s single most important number, because it is the rate at which the trait shows up in models that never touched the source at all — the convergence baseline , the rate any theory of pure coincidence has to beat.