{"attempt":1,"datasets":{"xu_does_mislabelling":{"description_shown":"This dataset comes from an online survey experiment conducted in the United States on Amazon Mechanical Turk (MTurk) in March 2020, during the early stages of the COVID-19 pandemic. A total of 1,200 adult participants were included after excluding incomplete responses and failed manipulation checks. Respondents were randomly assigned to one of two groups: a control group where the virus was labeled COVID-19 and a treatment group where it was labeled the \"\"Chinese Virus\"\". The goal of the experiment was to test whether these labels influenced attitudes toward Chinese immigrants and shifted blame toward or away from the federal government. To capture sensitive views, the design combined a list experiment with direct survey questions.\n\nDataset Variables:\nduration: the time subjects spent in survey\ncblame_1: blame in COVID19 group\ntblame_1: blame in \"\"Chinese Virus\"\" group\nmc: answer of the manipulation check question\nlc_c: list item count in 3-item COVID19 group\ndirect_c: answer of the direct question in the 3-item COVID19 group\nlt_c: list item count in 4-item COVID19 group\nlc_t: list item count in 3-item \"\"Chinese Virus\"\" group\ndirect_t: answer of the direct question in the 3-item \"\"Chinese Virus\"\" group\nlt_t: list item count in 4-item \"\"Chinese Virus\"\" group\nsex: 1=male; 0=female\nage: subjects' age\nrace: subjects' race\nincome: subjects' income\nworry: how worried subjects are about COVID-19 exposure\ntwitter: frequency of using Twitter/Facebook\nparty: party affiliation\nlean: party lean\nideology: political ideology\nstate: subjects' location state\nch: 1=\"\"Chinese virus\"\" group, 0=COVID19 group\ncovid: item number in COVID19 group (1=4-item; 0=3-item)\nvirus: item number in \"\"Chinese Virus\"\" group (1=4-item; 0=3-item)\nlist: item subgroup (1=4-item group; 0=3-item group)\nblame: blame\ndirect: answer of direct question\nict.c: item count in COVID19 group\nict.t: item count in \"\"Chinese Virus\"\" group\nict: item count\nY.c: social desirability measure in COVID19 group\nY.t: social desirability measure in \"\"Chinese Virus\"\" group\nido: numeric ideology measure\nido1: simplified measure of ideology\ninc: numeric income measure\nwor: numeric measure of worry\nsocial: numeric measure of social media use\nID: subject ID\nitem: 3-item or 4-item\nch1: a=COVID19; b=\"\"Chinese Virus\"\"\nmale: 1=male; 0=female\nfemale: 1=female; 0=male\nyoung: 1=age<=29\nmidage: 1=29<age<=49\nold: 1=age>49\nwhite: 1=white; 0=not white\nblk: 1=black; 0=not black\nhis: 1=hispanic; 0=not hispanic\nasian: 1=asian; 0=not asian\nother: 1=other; 0=not other\nhwor: 1=worried or very worried; 0=not too worried or not worried at all\nlwor: 0=worried or very worried; 1=not too worried or not worried at all\nhsocial: 1=\"\"social\"\">=2; 0=\"\"social\"\"<2\nlsocial: 1=\"\"social\"\"<2; 0=\"\"social\"\">=2\nDem: 1=Democrat; 0=other\nRep: 1=Republican; 0=other\nInd: 1=Independent; 0=other\nlib: 1=Liberal; 0=other\ncon: 1=Conservative; 0=other\nmod: 1=Moderate; 0=other\nlow: 1=Less than $25,000; 0=other\nmed: 1=\"\"inc\"\">=2 and <5; 0=other\nhigh: 1=\"\"inc\"\">=5; 0=other\nmcr: 1=answer correct in manipulation check question; 0=answer wrong\ngroup: covid3=COVID19 3-item group; covid4=COVID19 4-item group; virus3=\"\"Chinese Virus\"\" 3-item group; virus4=\"\"Chinese Virus\"\" 4-item group","file_sha256":"7432cf2fb45b00f547e433f243fdbd8ecadf01b8141adbba4130824522108855","frame_sha256":null,"role":"agent","transforms":[]}},"epoch":1,"event":"sample_init","question":"Does labeling COVID-19 as the 'Chinese Virus' causally affect the level of blame the public assigns to the federal government?","question_sha256":"121fa8ed556b1a34d536f433bb21e4e774a59fe657784f30f4dad1fe086666ed","run_id":"20261015T171122Z-suite-causcibench_real-baseline-4f971b","seq":0,"skills":[],"task_id":"causcibench_real.q084","task_sha256":"f35ebe268993cca25df31c83adcaf6e736230c847fa443fa917f9dfc7614aef2","timestamp":"2026-10-15T17:11:24.084997Z"}
{"attempt":1,"attempts":[],"call_id":"call_f69a4cd9","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":["3fd37b7dca6f37f4b42a3a8a4170db47d464da2845d476f0b3be2606a52303d0"],"system_stable_ref":"433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420","system_task_ref":"c1f32b32f40f6b3f93158632162f9284b63c06da6fd563e1bfbd1c0ad260a18e","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.q084","timestamp":"2026-10-15T17:11:24.084997Z","usage":{"cached":0,"input":0,"output":0,"thoughts":0},"vendor":false}
{"attempt":1,"call_id":"call_eaa3d896","epoch":1,"event":"guard","numbers_found":[],"retries_left":1,"run_id":"20261015T171122Z-suite-causcibench_real-baseline-4f971b","seq":2,"task_id":"causcibench_real.q084","timestamp":"2026-10-15T17:11:24.087891Z","turn_id":"call_f69a4cd9","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.q084","timestamp":"2026-10-15T17:11:24.088006Z"}
{"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.q084","timestamp":"2026-10-15T17:11:24.088006Z"}
{"attempt":1,"check":{"check_index":1,"detail":"no answer figure: the answer cites no effect of an estimator call","expected":0.987,"failure_class":"no_estimate_cited","kind":"answer_figure_close","observed":null,"passed":false,"required":true,"source_id":"causcibench_real.gold.q084","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.q084","timestamp":"2026-10-15T17:11:24.088006Z"}