Fix links

docs/project_defn.rst

@@ -309,19 +309,19 @@ using `GCP Batch <https://cloud.google.com/batch>`_ and `Cloud Run <https://clou
        to be set to at least 2,048 if more than 8 simulations will be run in parallel on the same
        machine (i.e., when vCPUs per machine_type ÷ vCPUs per sim > 8). Default: None (which should
        result in a 30 GB boot disk according to the docs linked above).
-    *  ``machine_type``: Optional. GCP Compute Engine `machine type` to use. If omitted, GCP Batch will
+    *  ``machine_type``: Optional. GCP Compute Engine `machine type`_ to use. If omitted, GCP Batch will
        choose a machine type based on the requested vCPUs and memory. If set, the machine type
        should have at least as many resources as requested for each simulation above. If it is
        large enough, multiple simulations will be run in parallel on the same machine. Typically
-       this is a type from the `E2 series`. Usually safe to leave unset.
+       this is a type from the `E2 series`_. Usually safe to leave unset.
     *  ``use_spot``: Optional. Whether to use `Spot VMs <https://cloud.google.com/spot-vms>`_
        for data simulations, which can reduce costs by up to 91%. Default: false
 *  ``postprocessing_environment``: Optional. Specifies the Cloud Run computing environment for
    postprocessing.
 
     *  ``cpus``: Optional. `Number of CPUs`_ to use. Use up to 8 for large jobs. Default: 2.
     *  ``memory_mib``: Optional. `Amount of RAM`_ needed in MiB. At least 2048 MiB per CPU is recommended.
-       Use up to 32768 Mi for large jobs. Default: 4096.
+       Use up to 32768 MiB for large jobs. Default: 4096 MiB.
 
 .. _GCP's default behavior: https://cloud.google.com/python/docs/reference/batch/latest/google.cloud.batch_v1.types.TaskGroup
 .. _job limits: https://cloud.google.com/batch/quotas