{"attempt":1,"datasets":{"invest_email_rnd_test":{"description_shown":"Data file invest_email_rnd_test.csv of this question; the question's data description is the description of dataset 'invest_email_rnd_train'.","file_sha256":"3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970","frame_sha256":null,"role":"agent","transforms":[]},"invest_email_rnd_train":{"description_shown":"To evaluate the effectiveness of email marketing on customer investment decisions, the dataset invest_email_rnd_train.csv is used for training, and invest_email_rnd_train.csv is used for testing. They contain customer data including id, age, income, insurance, invested amount, binary indicators for whether they received three different emails (em1, em2, em3), and a binary outcome variable indicating whether the customer converted (invested vs. didn't invest) after receiving an email. The goal is to personalize email marketing by sending email-1 only to customers predicted to have the highest increase in the probability of conversion.","file_sha256":"3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970","frame_sha256":null,"role":"agent","transforms":[]}},"epoch":1,"event":"sample_init","question":"Please train a boosted tree model to predict the conditional average treatment effect (CATE) of sending email-1 (em1) on the conversion rate, using demographic and financial attributes of the customers. What is the predicted increase in the probability that customer 6958 will purchase the investment product, if they are sent email-1, according to the CATE estimate provided by the model? Please provide the answer as a percentage, rounded to two decimal places.","question_sha256":"2abc80d7f8e302d9cb28f378aaadf64acf1028528d99582ee456b1206007af06","run_id":"20261015T170025Z-suite-qrdata_socsci-baseline-2a40bf","seq":0,"skills":[],"task_id":"qrdata_socsci.371","task_sha256":"5e85fed7800edda0841a90db26543e8d8df7959917b8a2e01c1796acce494143","timestamp":"2026-10-15T17:00:25.998949Z"}
{"attempt":1,"attempts":[],"call_id":"call_ebcf9baa","epoch":1,"event":"model","finish_reason":"tool_use","latency_ms":0.0,"model_reported":"rules-1","model_requested":"rules-1","provider":"baseline","request":{"config":{},"contents_refs":[],"messages_refs":["630a2df9978fbf59edf967c7598e8246e18f200e9147db1150ff5c8e95828eba"],"system_stable_ref":"433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420","system_task_ref":"fe8fc742e3573098a1eed67d698209b5d5684de2f2ec0c8280842948a58d3c55","tools_ref":"52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b"},"response":{"text":"","thoughts":null,"tool_calls":[{"args":{"answer":"Pelas regras deste roteador n\u00e3o identifiquei um desenho que responda \u00e0 pergunta; nenhuma estimativa foi feita.","caveats":[],"figure_refs":[]},"llm_name":"submit_answer","tool_id":null,"vendor_id":"baseline_answer"}]},"response_id":null,"run_id":"20261015T170025Z-suite-qrdata_socsci-baseline-2a40bf","seq":1,"task_id":"qrdata_socsci.371","timestamp":"2026-10-15T17:00:25.998949Z","usage":{"cached":0,"input":0,"output":0,"thoughts":0},"vendor":false}
{"attempt":1,"call_id":"call_d1550fb7","epoch":1,"event":"guard","numbers_found":[],"retries_left":1,"run_id":"20261015T170025Z-suite-qrdata_socsci-baseline-2a40bf","seq":2,"task_id":"qrdata_socsci.371","timestamp":"2026-10-15T17:00:26.000929Z","turn_id":"call_ebcf9baa","unbacked":[],"uncited":[],"verdict":"accepted"}
{"answer":"Pelas regras deste roteador n\u00e3o identifiquei um desenho que responda \u00e0 pergunta; nenhuma estimativa foi feita.","answer_figure":null,"attempt":1,"caveats":[],"epoch":1,"event":"answer","figure_refs":[],"run_id":"20261015T170025Z-suite-qrdata_socsci-baseline-2a40bf","seq":3,"stopped":"answered","task_id":"qrdata_socsci.371","timestamp":"2026-10-15T17:00:26.001043Z"}
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{"attempt":1,"check":{"check_index":1,"detail":"no answer figure: the answer cites no effect of an estimator call","expected":[0.102529,0.10887100000000001],"failure_class":"no_estimate_cited","kind":"answer_figure_close","observed":null,"passed":false,"required":true,"source_id":"qrdata.gold.371","tolerance":{"abs_tol":null,"interval":[0.102529,0.10887100000000001],"min_lre":null,"open_interval":true,"rel_tol":null,"rule":"interval"},"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T170025Z-suite-qrdata_socsci-baseline-2a40bf","seq":5,"task_id":"qrdata_socsci.371","timestamp":"2026-10-15T17:00:26.001043Z"}