Step 1: Understand the condition for orthogonal matrix.
A matrix \(A\) is orthogonal if
\[
A^TA=I
\]
This means that the columns of \(A\) form an orthonormal set.
Equivalently, each column must have length \(1\), and different columns must be mutually perpendicular.
Step 2: Use the possible values of entries.
Each entry of \(A\) can take values
\[
-1,0,1
\]
Since the entries are integers, for a column to have length \(1\), the sum of squares of entries in that column must be \(1\).
That means each column must contain exactly one non-zero entry, which is either \(1\) or \(-1\), and the remaining two entries must be \(0\).
So every column must be of the form
\[
\begin{bmatrix}
\pm 1\\
0\\
0
\end{bmatrix},
\quad
\begin{bmatrix}
0\\
\pm 1\\
0
\end{bmatrix},
\quad
\begin{bmatrix}
0\\
0\\
\pm 1
\end{bmatrix}
\]
Step 3: Count the number of orthogonal matrices.
For \(A\) to be orthogonal, its columns must be distinct standard basis vectors with arbitrary signs.
First, choose the positions of the non-zero entries in the three columns.
This can be done in
\[
3!
\]
ways.
For each non-zero entry, we can choose either \(1\) or \(-1\).
So the signs can be chosen in
\[
2^3
\]
ways.
Therefore, the total number of orthogonal matrices is
\[
3!\cdot 2^3
\]
\[
=6\cdot 8=48
\]
Step 4: Count the total number of possible matrices.
There are \(9\) entries in the \(3\times 3\) matrix.
Each entry has \(3\) possible values:
\[
-1,0,1
\]
Therefore, the total number of possible matrices is
\[
3^9
\]
Step 5: Find the required probability.
Since all matrices are equally likely,
\[
P(A\text{ is orthogonal})
=
\frac{3!\cdot 2^3}{3^9}
\]
\[
=
\frac{48}{3^9}
\]
Since
\[
48=16\cdot 3=2^4\cdot 3
\]
we get
\[
\frac{48}{3^9}
=
\frac{2^4\cdot 3}{3^9}
\]
\[
=
\frac{2^4}{3^8}
\]
Step 6: Final conclusion.
Hence, the required probability is
\[
\boxed{\frac{2^4}{3^8}}
\]