{"candidates":[{"content":{"parts":[{"text":"**Analyzing the `core.scale_effect` Function**\n\nOkay, let's take a look at this `core.scale_effect` function. I need to refresh my memory on what parameters it expects. Right, the key ones are `baseline`, `coefficient`, `sd`, and `transform`. The `transform` parameter looks particularly important, allowing us to specify how the effect is scaled. It can be 'log_points_to_percent', 'sd_units', or 'percent_of_baseline'.\n\nNow, let's put it to the test. I think I'll start with `transform='percent_of_baseline'`.  For the `coefficient`, I'll use the figure reference 'call_f86a6591:coef.educ', I know that should be available. And for the `baseline` value, let's grab 957.945. I remember that's what we got from the `data.describe` output. Perfect, I think this should give us a good starting point for evaluating how the function behaves in this specific context. Let's see what we get.\n\n\n","thought":true},{"text":"I will scale the coefficient of education to a percentage of the baseline mean of wage using core.scale_effect."},{"function_call":{"args":{"baseline":957.945,"coefficient":"call_f86a6591:coef.educ","transform":"percent_of_baseline"},"id":"call_328226","name":"core__scale_effect"},"thought_signature":"EugECuUEAWkUfRMZUwCXnvMHsyCflyxlhaYHWMmAyI0mvNpD2-7F4ojTzJV34Xe3iZQ7NfHvuyVfnYWIfXQIoJnSA9bLqA6eLaMsJlBdHBD-6dolRBHBsSzOjbUiFp5kN3yhkaO_haBtd05qSBKJi4bQJSPxeuAVBsZG5gaANz_xNNQZYqd7psHsLcvs4JRUNH96eN-GxpPjd0aGopqEgCVDZgLgQiSlEtBlGmi_Vx2eQblRUz4Rr_FnQt0NJwtJ9enY6WVeRMJ2QA7v6tHc1Ljq6vfh6JZsFPorBS_Mwhs57kyz6-VIoQ7N-nREi_FtxpwQ88WkYI8djeXcjzV07mho2aNcYJv57lt07gaGC56kMi888h5edy9L6azGXzRv0Vl9gLtooaw51YLFt9Ufz8Og3XIwiXYSBnvMfsXuZKbNXWPtYlgH03GZSimnCtuPzw9KwBe3i0pKJB9Rh9BpqCYzZn1pZhxlgH6ZlGBcER1bkOqavZxQtM3ktUDiOuPl3DEAA7fyjmkH1EERHbXKfMVnbArHOQSP1ozbtF297V1HQEb3aoLLhSdzlPcbjkPz29bLtx-XOVvKGbcx26lHflUPuX18gUdvOv-Mk8HksUZXBnFeibfEUW2stL89Yetrmd_Pbsb79IKbPf6zdrFt702ZArA8jZupJn2OX3gW9uaF84mILwFU0Vop0Sg-7AbrJR-W1hOwrGdmjZBOZROSgwArCR2IwjYpNoxmWc7rn8rxYOOPB8YBULDZkznTCyd3yMIo46pHUpni19462I2AhZd2HqsgEIn-ZOenGOG77w8VhrmyrtXA6faUVQ=="}],"role":"model"},"finish_reason":"STOP","index":0}],"model_version":"gemini-3.8-flash","response_id":"YsrQar2XK7vQz7IP5brfkAU","usage_metadata":{"cache_tokens_details":[{"modality":"TEXT","token_count":25062}],"cached_content_token_count":25062,"candidates_token_count":75,"prompt_token_count":27917,"prompt_tokens_details":[{"modality":"TEXT","token_count":27917}],"thoughts_token_count":157,"total_token_count":28149}}