Combined metrics ignore some arguments

Using `evaluate.combine`, some kwargs seem not to get passed to the sub metrics resulting in incorrect outputs.

Using the examples from `precision`

```
import evaluate
metric1 = evaluate.load('precision')
metric2 = evaluate.combine(['precision'])

print(metric1.compute(references=[0, 1, 0, 1, 0], predictions=[0, 0, 1, 1, 0], pos_label=0))
print(metric2.compute(references=[0, 1, 0, 1, 0], predictions=[0, 0, 1, 1, 0], pos_label=0))
```

Out:
```
{'precision': 0.6666666666666666}
{'precision': 0.5}
```

0.666... is the correct answer

```
import evaluate
metric1 = evaluate.load('precision')
metric2 = evaluate.combine(['precision'])

print(metric1.compute(references=[0, 1, 0, 1, 0], predictions=[0, 0, 1, 1, 0], sample_weight=[0.9, 0.5, 3.9, 1.2, 0.3]))
print(metric2.compute(references=[0, 1, 0, 1, 0], predictions=[0, 0, 1, 1, 0], sample_weight=[0.9, 0.5, 3.9, 1.2, 0.3]))
```

Out:

```
{'precision': 0.23529411764705882}
{'precision': 0.5}
```

0.235... is the correct answer

This issue occurred with all metrics I tried (precision, recall and F1).

Perhaps I am using the function incorrectly, but if so this behaviour was very surprising to me.

Mac OS 13.2 on M1, Python 3.10.9, evaluate 0.4.0