{"candidates":[{"content":{"parts":[{"text":"**Scaling the 2SLS Coefficient**\n\nOkay, let's see if we can get a handle on this 2SLS coefficient. I want to understand the magnitude \u2013 can we convert this into a more interpretable percent or scale effect? Right, time to dig into the `core.scale_effect` function. Wait, before I run that, let's just make sure I have the relevant skills loaded, or maybe just refresh my memory on what `core.scale_effect` actually *does*.\n\nAh, here it is: \"Converts an estimated coefficient into a percent effect...\". Perfect. Now, the outcome variable, `logpgp95`, is *log* GDP per capita. So, a one-unit increase in `avexpr` translates to a 0.944 *log point* change in GDP per capita. Okay, let's get this in percentage terms. That's just 100 times `(exp(0.944) - 1)`.\n\nAlright, let's try `core.scale_effect` with `transform='log_points_to_percent'`. The question is, can this function work on `call_0f97b69d:coef.avexpr`? Time to call `core.scale_effect` and see what we get!\n\n\n","thought":true},{"text":"I will transform the estimated 2SLS effect from log points into a percentage change in GDP per capita using `core.scale_effect`."},{"function_call":{"args":{"coefficient":"call_0f97b69d:coef.avexpr","transform":"log_points_to_percent"},"id":"call_521311","name":"core__scale_effect"},"thought_signature":"Eu4GCusGAWkUfRMlK27Tvojh8BPggpD0gPOUcdbHHK-JHOYwSkP6bAQtxytE8idIlxRuK9OJBNTwvC93By7OdDAIgSKMTCkxZXQv0LQGpJzS3w0cLxrZ9lGclulEgnvLv3MaDm4evkTHOJwIHpSHxaO0Pbq6Y5UooKZRr4GaF8yKfX2TAr1aHVdzlFXY6qPRDUlNW58T_aHWmJXsrT7s7w1yFNQ0AGs0JBMpVi6WbQ7r3dx0A1FZyqzOFmzs-g1uLzemi_mnPuMcBPOS_YAw-ZT8D2Vl42G5uY1AGtINbTeUZSvXD3TG0_i6qYzrbpQfJSj0HdzB-oIhX7yPO6WhjVho9qMP8-0LS-0mjFmJ56uPTSIpdm9f17JegXyDmxW45AaaO3AOoLrzKDvnkSPVKBA9s9HG0l7im2yHJ2UCgNcZRvIrf7eLpYBnmhcIroORr0LBeDpogcuclYRbhKM4wkIaw4qnXCj8zTv_o5umK0YasPsNpsZzo1v68-3cs0utKP2XVRYsEtvqyDegdx_ywyTUD-LwDoGxSQ5OZpzhajqdx2AvSDKPzRcxAs5hFMJsBYHS0Q_8WIAT0PU6coFRU0StVgfALR7sh0WFCY9u0LsVAwIWFxlddaDaK5FTZDJbCzEnvQ2RNEvW5jyN-dlVx8orTDP2bgVjNJoURWEdR_1fLMmLRMqxB30fGo6Lq8Mi381Oe6cnR1yBywNqAJFdrpMQebS8v4niSFsLUfZ85VaSxeB8Re962xJ8T_XpAP1PCguX4w1gIH6rK7DIGC6S1DWeebSgnXJW2_I8_4ZQZu2CFq4-ZuVPBjlP6FgXXvsLCWc0s8QU-VNpUYJpZGRmlRzfU283rdIdxQJ-tUA6vWocYtP1PujxFqq1DbXjXsCQg7YHZ-r5-gqg2su_qwPvaSKe7Eknz_-C2mdVX6p0IolSFedNxA2fhZoSxcJmlkfPFqQ6sMCKP8kEFfW0GYAYeBAHWMqUK_SbLbOQkwQ-mzuj9L3OHpI9MQ0Vg77NXfHgblJi1_HPB0T09y-coKvaKFL9I8ZI_YGlrea6lNtA44lwNwsft-JH8bLCN8dl87gIvm2s85-eXZT7CcuWWURYUb3MqOV27hxF6wbNjKL1COXrtVvKF0f4WGTMyhERIgq3MbH_0mynMeElwPagG-6xWro="}],"role":"model"},"finish_reason":"STOP","index":0}],"model_version":"gemini-3.8-flash","response_id":"8snQaomZBIDUz7IPjovqOA","usage_metadata":{"cache_tokens_details":[{"modality":"TEXT","token_count":18469}],"cached_content_token_count":18469,"candidates_token_count":74,"prompt_token_count":22179,"prompt_tokens_details":[{"modality":"TEXT","token_count":22179}],"thoughts_token_count":240,"total_token_count":22493}}