{"attempt":1,"datasets":{"women":{"description_shown":"Researchers conducted randomized policy experiment in India where, since the mid-1990s, one-third of village council heads have been randomly reserved for female politicians. The CSV data set women.csv contains a subset of this data from West Bengal. The policy was implemented at the level of government called Gram Panchayat or GP. Each GP contains many villages. For this study, two villages were selected at random within each GP for detailed data collection. Each observation in the data set represents a village and there are two villages associated with each GP.\n\nVariable Description\nGP: identifier for the Gram Panchayat (GP)\nvillage: identifier for each village\nreserved: binary variable indicating whether the GP was reserved for women leaders or not\nfemale: binary variable indicating whether the GP had a female leader or not\nirrigation: variable measuring the number of new or repaired irrigation facilities in the village since the reserve policy started\nwater: variable measuring the number of new or repaired drinking water facilities in the village since the reservation policy started","file_sha256":"3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970","frame_sha256":null,"role":"agent","transforms":[]}},"epoch":1,"event":"sample_init","question":"To explore if female politicians are more likely to support policies about drinking water, please estimate the average causal effects of the reservation policy on the number of new or repaired drinking water facilities since the reserve policy started. Please round to the nearest hundredth.","question_sha256":"915d94db194d36c99673aa8759d92860435529a454a645e13a41a581f18dedbd","run_id":"20261015T170037Z-suite-qrdata_socsci-naive-761cb5","seq":0,"skills":[],"task_id":"qrdata_socsci.398","task_sha256":"7db62017594e2564c7ad7420229bddacc4da84dc8e3c64e9bdda5dd6a6ee709a","timestamp":"2026-10-15T17:00:38.506938Z"}
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{"arguments":{"cluster":null,"controls":[],"dataset":"women","fe":[],"intercept":true,"level":0.95,"se":"HC1","subset":null,"weights":null,"x":["reserved"],"y":"water"},"attempt":1,"cached":false,"call_id":"call_ff5f4c3a","card_version":"0.1.0","code_version":"62cdbe0860ad","dataset_digests":{"women":"8b9618b5541a641626f67ccf0b06acbb4c6846dba68360908110838370c225ca"},"decided_by":"model","duration_ms":2.496875124052167,"epoch":1,"error":null,"event":"tool","informed_by":[],"input_digest":"f1708b7c9c6f3087a900176400522fc5a9e171cdb41800a139a7256a583d94ef","llm_name":"infer__ols","output_digest":"732a726e42f32bb43a25aad2b0d9d40b1097660d3435a4cca4c2b1bc89ecf78d","rationale":"Linha de base ing\u00eanua: regress\u00e3o do resultado no tratamento, sem controles.","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_ff5f4c3a","datasets":{},"diagnostics":[{"flag":false,"name":"n_obs","note":"observations used","value":322},{"flag":false,"name":"k","note":"parameters estimated, fixed-effect dummies included","value":2},{"flag":false,"name":"r2","note":"","value":0.016876051247779134},{"flag":false,"name":"df_resid","note":"","value":320},{"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":19.272846425727472,"ci_level":0.95,"ci_low":-0.7680004582646855,"derivation":{"note_pt":"","steps":[{"formula":"","result":9.252422983731394,"terms":[{"note":"","symbol":"n","unit":"observa\u00e7\u00f5es","value":322.0},{"note":"","symbol":"k","unit":"par\u00e2metros","value":2.0}],"text_pt":"Coeficiente de reserved na regress\u00e3o por m\u00ednimos quadrados ordin\u00e1rios de water.","unit":""},{"formula":"ep = \u221aV_jj","result":5.09321851662652,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":25.940874858107243}],"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":9.252422983731394},{"note":"quantil 0.975","symbol":"c","unit":"","value":1.9674049737479322},{"note":"","symbol":"ep","unit":"","value":5.09321851662652}],"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 320 graus de liberdade vezes o erro-padr\u00e3o.","unit":""}]},"key":"coef.reserved","label":"Coefficient on reserved in the regression of water","se":5.09321851662652,"unit":"","value":9.252422983731394}],"notes":"","reason":"","status":"ok","tables":{"coefficients":[{"ci_high":17.29452761817752,"ci_low":12.182107895841172,"coef":14.738317757009346,"p":2.704123431146596e-25,"se":1.2992799628327463,"t":11.34345035605431,"term":"Intercept"},{"ci_high":19.272846425727472,"ci_low":-0.7680004582646855,"coef":9.252422983731394,"p":0.07021135844802597,"se":5.09321851662652,"t":1.8166161442960655,"term":"reserved"}]},"tool":"infer.ols","version":"0.1.0","warnings":[]},"result_for_model_ref":"4b15bc9ee43db9309f4993caa83e9673e863afcfc66e66786b7e88776464f16e","result_sha256":"245a9df84dc890ef29e7389b3665a15eea2938bdc9fb8bf6cdf8e084e374b9b1","run_id":"20261015T170037Z-suite-qrdata_socsci-naive-761cb5","seq":2,"synthetic":false,"task_id":"qrdata_socsci.398","timestamp":"2026-10-15T17:00:38.509540Z","tool_id":"infer.ols","turn_id":"call_902054f3"}
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