diff --git a/diffmah/diffmahpop_kernels/logm0_kernels/logm0_c0_kernels.py b/diffmah/diffmahpop_kernels/logm0_kernels/logm0_c0_kernels.py
index 054cd81..be58fa2 100644
--- a/diffmah/diffmahpop_kernels/logm0_kernels/logm0_c0_kernels.py
+++ b/diffmah/diffmahpop_kernels/logm0_kernels/logm0_c0_kernels.py
@@ -41,7 +41,7 @@ def _pred_c0_kern(params, t_obs, t_peak):
     c0_ytp, c0_ylo, clip_c0, clip_c1 = params
     pred_c0 = _sig_slope(t_obs, XTP, c0_ytp, GLOBAL_X0, GLOBAL_K, c0_ylo, 0.0)
     clip = clip_c0 + clip_c1 * t_peak
-    pred_c0 = jnp.clip(pred_c0, a_min=clip)
+    pred_c0 = jnp.clip(pred_c0, min=clip)
     return pred_c0
 
 
diff --git a/diffmah/diffmahpop_kernels/logm0_kernels/logm0_c1_kernels.py b/diffmah/diffmahpop_kernels/logm0_kernels/logm0_c1_kernels.py
index 8f43c7e..0059199 100644
--- a/diffmah/diffmahpop_kernels/logm0_kernels/logm0_c1_kernels.py
+++ b/diffmah/diffmahpop_kernels/logm0_kernels/logm0_c1_kernels.py
@@ -46,7 +46,7 @@ def _pred_c1_kern(params, t_obs, t_peak):
     pred_c1 = _sig_slope(t_obs, XTP, c1_ytp, GLOBAL_X0, GLOBAL_K, c1_ylo, 0.0)
 
     clip = _sigmoid(t_peak, c1_clip_x0, CLIP_TP_K, c1_clip_ylo, c1_clip_yhi)
-    pred_c1 = jnp.clip(pred_c1, a_min=clip)
+    pred_c1 = jnp.clip(pred_c1, min=clip)
     return pred_c1
 
 
diff --git a/diffmah/diffmahpop_kernels/logm0_kernels/tests/test_logm0_pop.py b/diffmah/diffmahpop_kernels/logm0_kernels/tests/test_logm0_pop.py
index 0c0e787..b09c0f1 100644
--- a/diffmah/diffmahpop_kernels/logm0_kernels/tests/test_logm0_pop.py
+++ b/diffmah/diffmahpop_kernels/logm0_kernels/tests/test_logm0_pop.py
@@ -2,6 +2,7 @@
 """
 
 import numpy as np
+from jax import random as jran
 
 from .. import logm0_pop as m0pop
 
@@ -66,3 +67,20 @@ def test_default_params_are_in_bounds():
         val = getattr(m0pop.DEFAULT_LOGM0POP_PARAMS, key)
         bound = getattr(m0pop.LGM0POP_BOUNDS, key)
         assert bound[0] < val < bound[1]
+
+
+def test_pred_logm0_kern():
+    ran_key = jran.key(0)
+    n_tests = 1_000
+    for __ in range(n_tests):
+        lgm_key, t_obs_key, t_peak_key, ran_key = jran.split(ran_key, 4)
+        lgm_obs = jran.uniform(lgm_key, minval=5, maxval=16, shape=())
+        t_obs = jran.uniform(t_obs_key, minval=1, maxval=20, shape=())
+        t_peak = jran.uniform(t_peak_key, minval=1.5, maxval=20, shape=())
+        lgm0 = m0pop._pred_logm0_kern(
+            m0pop.DEFAULT_LOGM0POP_PARAMS, lgm_obs, t_obs, t_peak
+        )
+        assert lgm0.shape == ()
+        assert np.isfinite(lgm0)
+        assert lgm0 > 0
+        assert lgm0 < 20