{"attempt":1,"datasets":{"bowles_countering":{"description_shown":"The data aims to test whether trusted WhatsApp messages can counter COVID-19 misinformation in Zimbabwe. Partnering with Internews and Kubatana, the researchers crafted short weekly messages: Week 1 emphasized transmission and social distancing, Week 2 debunked fake cures. At the WhatsApp broadcast list level, timing was randomized: treatment groups received messages on Monday, control groups on Saturday. To measure effects, a survey was sent on Thursday. Knowledge was assessed through factual questions, and behavior through a list experiment, where respondents received either a short list (only non-sensitive activities) or a long list (the same activities plus a sensitive one: visiting others during lockdown). Broadcast lists were blocked in groups of four, with random assignment across timing (treatment vs. control) and list length (short vs. long).\n\nData variables\nResponseId: identifier for the responses from the individuals\nBehavior: number of activities the respondent participated in, coded from 0 to 5\nId: identifier for individuals participating\nList: binary variable, equals 1 if the WhatsApp broadcast list is assigned to the long experimental list\nqualtrics: binary variable indicating response mode (1 if Qualtrics, 0 if WhatsApp)\nT: treatment indicator, equals 1 if the WhatsApp broadcast list is assigned to the treatment group\nfemale: binary variable, equals 1 if the respondent is female\nc_Q4: survey question on factual knowledge about COVID-19 transmission or prevention\nc_Q5: survey question on factual knowledge about misinformation or fake cures\nKnowledge: z-score of the respondent's answers to the factual questions\nc_Q4_1: sub-item of Q4 (first option, coded 1 if correct, 0 otherwise)\nc_Q4_3: sub-item of Q4 (third option, coded 1 if correct, 0 otherwise)\nc_Q4_4: sub-item of Q4 (fourth option, coded 1 if correct, 0 otherwise)\nc_Q4_5: sub-item of Q4 (fifth option, coded 1 if correct, 0 otherwise)\nblock: randomization block (grouping of broadcast lists created at similar times)\nlength_subscribe: number of months the WhatsApp broadcast list had been active\nWeek: indicator for intervention week (1 = distancing message, 2 = misinformation/cures message)\nresponse_rate: fraction of weekly responses coming from WhatsApp per person\nWeek_id: numeric identifier for the week\nurban: binary variable, equals 1 if the individual lived in an urban district","file_sha256":"3107fc57c0d67588eccecf4788cf3600ab114f22fa27694bebd9c1892a8e5049","frame_sha256":null,"role":"agent","transforms":[]}},"epoch":1,"event":"sample_init","question":"What is the effect of WhatsApp messages on individuals's knowledge about Covid19?","question_sha256":"d45329396122f63c202f05477fb997e71196495f280086c8d2a71814a5da83f7","run_id":"20261015T171122Z-suite-causcibench_real-baseline-4f971b","seq":0,"skills":[],"task_id":"causcibench_real.q174","task_sha256":"bc69f820634fb1ae0b3ab86ab5f6d02758e0b06c48c7e461970a02623146c490","timestamp":"2026-10-15T17:11:26.744376Z"}
{"attempt":1,"attempts":[],"call_id":"call_03308b69","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":["f65931e02c484d0eb25fd1d40c9323c893e1bc2a7a218aa31e38f197e62c09e3"],"system_stable_ref":"433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420","system_task_ref":"0e62848a10130d0514ca3be41f0a3809e185759e945b072ecd982495ba622a70","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":"20261015T171122Z-suite-causcibench_real-baseline-4f971b","seq":1,"task_id":"causcibench_real.q174","timestamp":"2026-10-15T17:11:26.744376Z","usage":{"cached":0,"input":0,"output":0,"thoughts":0},"vendor":false}
{"attempt":1,"call_id":"call_af29bd4b","epoch":1,"event":"guard","numbers_found":[],"retries_left":1,"run_id":"20261015T171122Z-suite-causcibench_real-baseline-4f971b","seq":2,"task_id":"causcibench_real.q174","timestamp":"2026-10-15T17:11:26.746605Z","turn_id":"call_03308b69","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":"20261015T171122Z-suite-causcibench_real-baseline-4f971b","seq":3,"stopped":"answered","task_id":"causcibench_real.q174","timestamp":"2026-10-15T17:11:26.746700Z"}
{"attempt":1,"check":{"check_index":0,"detail":"every number backed","expected":null,"failure_class":null,"kind":"answer_backed","observed":[],"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171122Z-suite-causcibench_real-baseline-4f971b","seq":4,"task_id":"causcibench_real.q174","timestamp":"2026-10-15T17:11:26.746700Z"}
{"attempt":1,"check":{"check_index":1,"detail":"no answer figure: the answer cites no effect of an estimator call","expected":0.269,"failure_class":"no_estimate_cited","kind":"answer_figure_close","observed":null,"passed":false,"required":true,"source_id":"causcibench_real.gold.q174","tolerance":{"abs_tol":null,"interval":null,"min_lre":null,"open_interval":false,"rel_tol":0.05,"rule":null},"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171122Z-suite-causcibench_real-baseline-4f971b","seq":5,"task_id":"causcibench_real.q174","timestamp":"2026-10-15T17:11:26.746700Z"}
