{"attempt":1,"datasets":{"brogaard_interpreting_performance1":{"description_shown":"\"This study examines public attitudes and cognitive responses regarding organizational performance across different service sectors throuh randomized survey experiments. The research utilizes data from large-scale nationally representative surveys conducted to understand how individuals process and evaluate information about service delivery organizations. The dataset captures responses from participants who were presented with various scenarios involving performance metrics for different types of service providers across multiple public service domains.\n\nVariable Descriptions:\nRecordNo: Unique identifier for each survey respondent\nweight: Statistical weighting factor for survey representativeness\nQ1: Primary evaluation question response\nQ2_1: Secondary evaluation question response (first component)\nQ2_2: Secondary evaluation question response (second component)\nQ2_3: Secondary evaluation question response (third component)\nQ_P: Performance assessment question for baseline scenario\nQ_T1\u00a0through\u00a0Q_T6: Performance assessment questions for six different scenario variations\nScenario: Type of service scenario presented to respondent\nRandom_Placebo: Random assignment indicator for control condition\nRandom_T1_T6: Random assignment indicators for various scenario conditions\nScenario_new: Recoded scenario type variable\ntreatment: Consolidated experimental condition assignment\ngender: Respondent's gender identification\nprofile_age: Age of the respondent\nregion: Geographic region of residence\nurban: Urban versus rural residence indicator\nprofile_education: Educational attainment level\nOld_Private_better: Previous assessment of private sector performance superiority\nOld_More_contracting_out: Previous support for increased outsourcing of public services\nOld_Public_service_preference: Previous preference for public service delivery\nP_correct: Accuracy of interpretation for baseline performance scenario\nT1_correct\u00a0through\u00a0T6_correct: Accuracy of interpretation for each of the six scenario variations\nMale_dummy: Binary indicator for male respondents\nage_35_49: Binary indicator for respondents aged 35-49 years\nage_50_64: Binary indicator for respondents aged 50-64 years\nage_18_34: Binary indicator for respondents aged 18-34 years\nPrivate_better: Recoded measure of private sector performance assessment\nMore_contracting_out: Recoded measure of outsourcing support\nPublic_service_preference: Recoded measure of public service delivery preference\nQ_P_new: Alternative coding of baseline performance question\nPlacebo: Alternative coding of control condition response\nT1_P\u00a0through\u00a0T6_P: Alternative coding of performance questions for six scenarios\nDepT1_P\u00a0through\u00a0DepT6_P: Dependent variable formulations for six experimental conditions\"","file_sha256":"ec6ab45354ecb1bd53e4103fce3239d8d6b29f07243f0b5864cf6f83f10b3f83","frame_sha256":null,"role":"agent","transforms":[]}},"epoch":1,"event":"sample_init","question":"How does provider-type information framing for-profit homes as higher quality and public non-profits as lower quality - shape perceptions of nursing home quality among citizens with public service preferences between 25 and 50?","question_sha256":"515d9668fadee564a67e43cbd95075ac9a38c4319f4af59a2c5598ea4e7d1f8c","run_id":"20261015T171142Z-suite-causcibench_real-naive-d6494d","seq":0,"skills":[],"task_id":"causcibench_real.q165","task_sha256":"5d3481f994dde2bbfc2bf0498557520ce4c426cd5ddfe0d411413a116e252add","timestamp":"2026-10-15T17:11:47.190085Z"}
{"attempt":1,"attempts":[],"call_id":"call_7ff9f30d","epoch":1,"event":"model","finish_reason":"tool_use","latency_ms":0.0,"model_reported":"naive-ols","model_requested":"naive-ols","provider":"scripted","request":{"config":{},"contents_refs":[],"messages_refs":["6d5135cc3129a2bc04648f118d503ad92f56ddd0bcc874f41461c8859f8c34a9"],"system_stable_ref":"433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420","system_task_ref":"545a00810e9bd98b3dc91bfefce8c870e06d071ec8ee4793cbe3ba871831732e","tools_ref":"52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b"},"response":{"text":"","thoughts":null,"tool_calls":[{"args":{"answer":"Linha de base ing\u00eanua: o item n\u00e3o declara o resultado e o tratamento, ent\u00e3o n\u00e3o h\u00e1 regress\u00e3o ing\u00eanua a fazer e nenhuma estimativa \u00e9 citada.","caveats":[],"figure_refs":[]},"llm_name":"submit_answer","tool_id":null,"vendor_id":"script_1"}]},"response_id":null,"run_id":"20261015T171142Z-suite-causcibench_real-naive-d6494d","seq":1,"task_id":"causcibench_real.q165","timestamp":"2026-10-15T17:11:47.190085Z","usage":{"cached":0,"input":0,"output":0,"thoughts":0},"vendor":false}
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{"answer":"Linha de base ing\u00eanua: o item n\u00e3o declara o resultado e o tratamento, ent\u00e3o n\u00e3o h\u00e1 regress\u00e3o ing\u00eanua a fazer e nenhuma estimativa \u00e9 citada.","answer_figure":null,"attempt":1,"caveats":[],"epoch":1,"event":"answer","figure_refs":[],"run_id":"20261015T171142Z-suite-causcibench_real-naive-d6494d","seq":3,"stopped":"answered","task_id":"causcibench_real.q165","timestamp":"2026-10-15T17:11:47.192997Z"}
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