{"attempt":1,"datasets":{"garcia_colored_perceptions":{"description_shown":"The present study is based on an original survey experiment that tests whether assessments of others\u2019 skin color are affected by a subtle racial cue, a name. Random assignment achieved a fairly uniform distribution of subjects across conditions, with 2,783 unique ratings of faces assigned Hispanic names and 2,817 unique ratings of faces assigned non-Hispanic names. Because each subject rated pictures with both Hispanic and non-Hispanic names, subject characteristics were necessarily balanced across experimental conditions.\n\nVariables: \n- id: Respondent\u2019s unique ID number\n- imageno: Unique image number, from the FEI face database\n- hispanicimage: Was the image presented with a distinctively Hispanic name or a distinctively non-Hispanic name? (1 = Distinctively Hispanic name, NOT INCLUDED IN DATASET)\n- femaleimage: Does the person in the image present as male or female? (1 = Female, 0 = Male)\n- hispanicimagexfemaleimage: Interaction between hispanicimage and femaleimage\n- namepair: To which pair of names was the image attached? (\"\"a\"\" = Catalina/Catherine, \"\"b\"\" = Juana/Joann, \"\"c\"\" = Margarita/Margaret. \"\"d\"\" = Carlota/Charlotte, \"\"e\"\" = Daniela/Daniella, \"\"f\"\" = Juan/John, \"\"g\"\" = Pedro/Peter, \"\"h\"\" = Ricardo/Richard, \"\"i\"\" = Pablo/Paul, \"\"j\"\" = Jose/Joe)\n- color: Skin color rating of image (1 = Lightest; 11 = Darkest)\n- gender: Respondent's gender (1 = Male; 2 = Female)\n- age: Respondent's age\n- hispanic: Respondent's identification as Hispanic/Latino(a) (1 = Yes; 2 = No)\n- race: Respondent's racial identification (1 = White, 2 = Black/African-American; 3 = American Indian or Alaska Native; 4 = Asian or Pacific Islander; 5 = Some other race)\n- educ: Respondent's educational attainment (1 = Less than high school; 2 = High school/GED; 3 = Some college; 4 = 2-year college degree (Associate\u2019s); 5 = 4-year college degree (BA, BS); 6 = Graduate or professional degree)\n- hhinc: Respondent's household inome from all sources (1 = Less than $10,000; 2 = $10,000- $19,999; 3 = $20,000-$29,999; 4 = $30,000-$39,999; 5 = $40,000-$49,999; 6 = $50,000-$59,999; 7 = $60,000- $69,999; 8 = $70,000-$79,999; 9 = $80,000-$89,999; 10 = $90,000-$99,999; 11 = $100,000-$149,999; 12 = More than $150,000; 13 = Rather not say)\n- born: Respondent's country of birth\n- region: Respondent's US Census region of residence (1 = Northeast; 2 = Midwest; 3 = South; 4 = West; 5 = Rather not say)\n- rs_color: Respondent's self-rated skin color (1 = Lightest; 11 = Darkest)","file_sha256":"c9d403a8c02120d4b354d4b751a93273ecdfa2b55563238a0fa253796951e0e5","frame_sha256":null,"role":"agent","transforms":[]},"garcia_colored_perceptions_ref":{"description_shown":"","file_sha256":"c9d403a8c02120d4b354d4b751a93273ecdfa2b55563238a0fa253796951e0e5","frame_sha256":null,"role":"reference","transforms":[{"args":{"args":{"columns":["femaleimage","hispanicname"]},"name":"femaleimage_x_hispanicname","op":"interaction"},"op":"derive"}]}},"epoch":1,"event":"sample_init","question":"Do people consider that the skin color of hispanic people is darker when the person presented is a woman?","question_sha256":"70a4e6385120011cdc73aded0a38c3e77ce8e9c7985e46f62e10f31db86b475e","run_id":"20261015T171059Z-suite-causcibench_real-scripted-ded01d","seq":0,"skills":[],"task_id":"causcibench_real.q118","task_sha256":"e534c01cdcea2b895cd350dfe51fec87caa9c5648e3b4bf78afd02240bb038b4","timestamp":"2026-10-15T17:11:02.340057Z"}
{"attempt":1,"call_id":"call_02f482f0","dataset_id":"garcia_colored_perceptions_ref","epoch":1,"event":"transform","frame_sha256_after":"bfede1383591da85f0213d702c5c1eaecbd34ca11112017984fbb698e29efd18","frame_sha256_before":"7e9b9904480576634aba8e7f4ecee3b7bc435563bba0020f659222285732a49a","index":0,"rows_after":5600,"rows_before":5600,"run_id":"20261015T171059Z-suite-causcibench_real-scripted-ded01d","seq":1,"task_id":"causcibench_real.q118","timestamp":"2026-10-15T17:11:02.340057Z","transform":{"args":{"args":{"columns":["femaleimage","hispanicname"]},"name":"femaleimage_x_hispanicname","op":"interaction"},"op":"derive"}}
{"attempt":1,"attempts":[],"call_id":"call_76bd3861","epoch":1,"event":"model","finish_reason":"tool_use","latency_ms":0.0,"model_reported":"reference","model_requested":"reference","provider":"scripted","request":{"config":{},"contents_refs":[],"messages_refs":["a04138733cba3f8e75f0568834122e31c3727d451d2d8d61e42613f0c015bcf5"],"system_stable_ref":"433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420","system_task_ref":"976cf7ce924c6cfa53bc90a855b31a88efb680dc18590fc45366637f9d499b9e","tools_ref":"52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b"},"response":{"text":"causcibench_metadata_rule/1: ols","thoughts":null,"tool_calls":[{"args":{"controls":["femaleimage","hispanicname","rs_color","age","gender","race","hhinc","educ","region","hispanic","born"],"dataset":"garcia_colored_perceptions_ref","x":["femaleimage_x_hispanicname"],"y":"color"},"llm_name":"infer__ols","tool_id":"infer.ols","vendor_id":"script_1"}]},"response_id":null,"run_id":"20261015T171059Z-suite-causcibench_real-scripted-ded01d","seq":2,"task_id":"causcibench_real.q118","timestamp":"2026-10-15T17:11:02.362639Z","usage":{"cached":0,"input":0,"output":0,"thoughts":0},"vendor":false}
{"arguments":{"cluster":null,"controls":["femaleimage","hispanicname","rs_color","age","gender","race","hhinc","educ","region","hispanic","born"],"dataset":"garcia_colored_perceptions_ref","fe":[],"intercept":true,"level":0.95,"se":"HC1","subset":null,"weights":null,"x":["femaleimage_x_hispanicname"],"y":"color"},"attempt":1,"cached":false,"call_id":"call_c088d088","card_version":"0.1.0","code_version":"2925aeab2262","dataset_digests":{"garcia_colored_perceptions_ref":"bfede1383591da85f0213d702c5c1eaecbd34ca11112017984fbb698e29efd18"},"decided_by":"model","duration_ms":5.460374988615513,"epoch":1,"error":null,"event":"tool","informed_by":[],"input_digest":"beea50c055c3a1cf7cc4d3a8270a689256f88429d9ad1f60c4ba9ed687061a90","llm_name":"infer__ols","output_digest":"36dcc2ab80143100e5674662a82c1114ff85a45cf5eb3304304709102975262e","rationale":"causcibench_metadata_rule/1: ols","replay_class":"replayed","result":{"assumptions":["the conditional mean of the outcome is linear in the regressors","errors are independent across observations; their variance may differ"],"call_id":"call_c088d088","datasets":{},"diagnostics":[{"flag":false,"name":"n_obs","note":"observations used","value":5600},{"flag":false,"name":"k","note":"parameters estimated, fixed-effect dummies included","value":13},{"flag":false,"name":"r2","note":"","value":0.09645179541549964},{"flag":false,"name":"df_resid","note":"","value":5587},{"flag":false,"name":"se_type","note":"heteroskedasticity-robust standard errors (HC1)","value":"HC1"},{"flag":false,"name":"n_clusters","note":"errors not clustered","value":null}],"figures":[{"ci_high":0.2957492467311051,"ci_level":0.95,"ci_low":-0.007547572920123258,"derivation":{"note_pt":"","steps":[{"formula":"","result":0.14410083690549091,"terms":[{"note":"","symbol":"n","unit":"observa\u00e7\u00f5es","value":5600.0},{"note":"","symbol":"k","unit":"par\u00e2metros","value":13.0}],"text_pt":"Coeficiente de femaleimage_x_hispanicname na regress\u00e3o por m\u00ednimos quadrados ordin\u00e1rios de color.","unit":""},{"formula":"ep = \u221aV_jj","result":0.07735629741777642,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":0.005983996750187482}],"text_pt":"Erro-padr\u00e3o robusto \u00e0 heterocedasticidade (HC1): a raiz da vari\u00e2ncia estimada do coeficiente.","unit":""},{"formula":"IC = \u03b2 \u00b1 c \u00b7 ep","result":null,"terms":[{"note":"","symbol":"\u03b2","unit":"","value":0.14410083690549091},{"note":"quantil 0.975","symbol":"c","unit":"","value":1.960388680531205},{"note":"","symbol":"ep","unit":"","value":0.07735629741777642}],"text_pt":"Intervalo de 95% de confian\u00e7a: a estimativa mais ou menos o valor cr\u00edtico da distribui\u00e7\u00e3o t de Student com 5587 graus de liberdade vezes o erro-padr\u00e3o.","unit":""}]},"key":"coef.femaleimage_x_hispanicname","label":"Coefficient on femaleimage_x_hispanicname in the regression of color","se":0.07735629741777642,"unit":"","value":0.14410083690549091}],"notes":"","reason":"","status":"ok","tables":{"coefficients":[{"ci_high":3.893335914630548,"ci_low":3.079573341289158,"coef":3.486454627959853,"p":8.121749696210072e-62,"se":0.2075513344427406,"t":16.798035229793708,"term":"Intercept"},{"ci_high":0.2957492467311051,"ci_low":-0.007547572920123258,"coef":0.14410083690549091,"p":0.06254007584372823,"se":0.07735629741777642,"t":1.862819727878763,"term":"femaleimage_x_hispanicname"},{"ci_high":-0.783797733598111,"ci_low":-0.9973616866917441,"coef":-0.8905797101449275,"p":9.879749821023862e-59,"se":0.05446979856968054,"t":-16.349972526622302,"term":"femaleimage"},{"ci_high":0.1063900155462285,"ci_low":-0.12433651175972198,"coef":-0.00897324810674674,"p":0.8788107006824506,"se":0.05884713822246482,"t":-0.15248401838717135,"term":"hispanicname"},{"ci_high":0.08869124178567286,"ci_low":0.03888933840139164,"coef":0.06379029009353225,"p":5.271188519987459e-07,"se":0.01270204829248107,"t":5.022047517430136,"term":"rs_color"},{"ci_high":-0.0418339356860952,"ci_low":-0.08181245719954992,"coef":-0.06182319644282256,"p":1.4224221348636577e-09,"se":0.010196580379820847,"t":-6.06313039665449,"term":"age"},{"ci_high":0.009624683045120153,"ci_low":-0.14548425560922193,"coef":-0.06792978628205089,"p":0.08601631211136644,"se":0.03956076164761172,"t":-1.717100062105397,"term":"gender"},{"ci_high":-0.09173187426981519,"ci_low":-0.16470772498963474,"coef":-0.12821979962972496,"p":6.242500362000085e-12,"se":0.018612597451859735,"t":-6.888871903094508,"term":"race"},{"ci_high":0.048125613155083735,"ci_low":0.024920539574846926,"coef":0.03652307636496533,"p":7.262452690487826e-10,"se":0.005918487953610543,"t":6.171014734039395,"term":"hhinc"},{"ci_high":0.006865986706554625,"ci_low":-0.05850540626183788,"coef":-0.025819709777641628,"p":0.12153750940257342,"se":0.016673069380985936,"t":-1.5485876767889284,"term":"educ"},{"ci_high":0.07848847444735611,"ci_low":0.006904606150421114,"coef":0.04269654029888861,"p":0.019392965228341354,"se":0.01825757029915567,"t":2.338566391874341,"term":"region"},{"ci_high":0.2894260742144333,"ci_low":-0.02207784068441182,"coef":0.13367411676501073,"p":0.09252710997993319,"se":0.07944952906339908,"t":1.6825035760544478,"term":"hispanic"},{"ci_high":0.5465991635965926,"ci_low":0.18093311294535713,"coef":0.36376613827097487,"p":9.715859873659921e-05,"se":0.09326366099812188,"t":3.900405949947647,"term":"born"}]},"tool":"infer.ols","version":"0.1.0","warnings":[]},"result_for_model_ref":"be2daecaa38c177342bb7343a1dac7c5f4101d6fe381d99c26c0da05f1351c79","result_sha256":"75c9436b4b1df454855f6cd294f37b4ebc81af438b42b01e44a5ab3a29b85b76","run_id":"20261015T171059Z-suite-causcibench_real-scripted-ded01d","seq":3,"synthetic":false,"task_id":"causcibench_real.q118","timestamp":"2026-10-15T17:11:02.366136Z","tool_id":"infer.ols","turn_id":"call_76bd3861"}
{"attempt":1,"attempts":[],"call_id":"call_e04ca68f","epoch":1,"event":"model","finish_reason":"tool_use","latency_ms":0.0,"model_reported":"reference","model_requested":"reference","provider":"scripted","request":{"config":{},"contents_refs":[],"messages_refs":["a04138733cba3f8e75f0568834122e31c3727d451d2d8d61e42613f0c015bcf5","2c325885ce870097010a4e5f05fecdda9663378d45e96e2dc730b980f5ce4cfd","05df3e7f144874d1bc5a680562fb56fda7544aa28930b3225b5ecf693dad081c"],"system_stable_ref":"433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420","system_task_ref":"976cf7ce924c6cfa53bc90a855b31a88efb680dc18590fc45366637f9d499b9e","tools_ref":"52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b"},"response":{"text":"","thoughts":null,"tool_calls":[{"args":{"answer":"Estimativa (infer.ols): coef.femaleimage_x_hispanicname = 0,1441.","caveats":[],"figure_refs":["call_c088d088:coef.femaleimage_x_hispanicname"]},"llm_name":"submit_answer","tool_id":null,"vendor_id":"script_2"}]},"response_id":null,"run_id":"20261015T171059Z-suite-causcibench_real-scripted-ded01d","seq":4,"task_id":"causcibench_real.q118","timestamp":"2026-10-15T17:11:02.371943Z","usage":{"cached":0,"input":0,"output":0,"thoughts":0},"vendor":false}
{"attempt":1,"call_id":"call_2f027419","epoch":1,"event":"guard","numbers_found":["0,1441"],"retries_left":1,"run_id":"20261015T171059Z-suite-causcibench_real-scripted-ded01d","seq":5,"task_id":"causcibench_real.q118","timestamp":"2026-10-15T17:11:02.373753Z","turn_id":"call_e04ca68f","unbacked":[],"uncited":[],"verdict":"accepted"}
{"answer":"Estimativa (infer.ols): coef.femaleimage_x_hispanicname = 0,1441.","answer_figure":{"call_id":"call_c088d088","ci_high":0.2957492467311051,"ci_low":-0.007547572920123258,"formatted":0.14410083690549091,"key":"coef.femaleimage_x_hispanicname","ref":"call_c088d088:coef.femaleimage_x_hispanicname","se":0.07735629741777642,"tool_id":"infer.ols","unit":"","value":0.14410083690549091},"attempt":1,"caveats":[],"epoch":1,"event":"answer","figure_refs":["call_c088d088:coef.femaleimage_x_hispanicname"],"run_id":"20261015T171059Z-suite-causcibench_real-scripted-ded01d","seq":6,"stopped":"answered","task_id":"causcibench_real.q118","timestamp":"2026-10-15T17:11:02.374132Z"}
{"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":"20261015T171059Z-suite-causcibench_real-scripted-ded01d","seq":7,"task_id":"causcibench_real.q118","timestamp":"2026-10-15T17:11:02.374132Z"}
{"attempt":1,"check":{"check_index":1,"detail":"0.1441008369 vs 0.148","expected":0.148,"failure_class":null,"kind":"answer_figure_close","observed":0.14410083690549091,"passed":true,"required":true,"source_id":"causcibench_real.gold.q118","tolerance":{"abs_tol":null,"interval":null,"min_lre":null,"open_interval":false,"rel_tol":0.05,"rule":null},"trace_call_id":"call_c088d088","weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171059Z-suite-causcibench_real-scripted-ded01d","seq":8,"task_id":"causcibench_real.q118","timestamp":"2026-10-15T17:11:02.374132Z"}
