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{"arguments":{"cluster":null,"controls":[],"dataset":"eckhouse_metrics_management","fe":[],"intercept":true,"level":0.95,"se":"HC1","subset":null,"weights":null,"x":["HASCOMPSTAT"],"y":"PART2arrests"},"attempt":1,"cached":false,"call_id":"call_2bea3e98","card_version":"0.1.0","code_version":"2925aeab2262","dataset_digests":{"eckhouse_metrics_management":"edcc0e3e260047813f052e191a75de4b0bf34c47415a9adb49cf78c6244589b6"},"decided_by":"model","duration_ms":5.443749949336052,"epoch":1,"error":null,"event":"tool","informed_by":[],"input_digest":"1573fb5a0dfeae836986ac27b61a440b098ad55c00adbc3b24e03ca39908bc50","llm_name":"infer__ols","output_digest":"29fc80ff750d3ba6909e68e04dee9baf54cc6c236a99b71c7be91e322e71dc27","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_2bea3e98","datasets":{},"diagnostics":[{"flag":false,"name":"n_obs","note":"observations used","value":1081},{"flag":false,"name":"k","note":"parameters estimated, fixed-effect dummies included","value":2},{"flag":false,"name":"r2","note":"","value":0.0017663885527579026},{"flag":false,"name":"df_resid","note":"","value":1079},{"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":19846.244868180875,"ci_level":0.95,"ci_low":-4295.224931338769,"derivation":{"note_pt":"","steps":[{"formula":"","result":7775.509968421053,"terms":[{"note":"","symbol":"n","unit":"observa\u00e7\u00f5es","value":1081.0},{"note":"","symbol":"k","unit":"par\u00e2metros","value":2.0}],"text_pt":"Coeficiente de HASCOMPSTAT na regress\u00e3o por m\u00ednimos quadrados ordin\u00e1rios de PART2arrests.","unit":""},{"formula":"ep = \u221aV_jj","result":6151.743067627993,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":37843942.770109065}],"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":7775.509968421053},{"note":"quantil 0.975","symbol":"c","unit":"","value":1.9621649940614458},{"note":"","symbol":"ep","unit":"","value":6151.743067627993}],"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 1079 graus de liberdade vezes o erro-padr\u00e3o.","unit":""}]},"key":"coef.HASCOMPSTAT","label":"Coefficient on HASCOMPSTAT in the regression of PART2arrests","se":6151.743067627993,"unit":"","value":7775.509968421053}],"notes":"","reason":"","status":"ok","tables":{"coefficients":[{"ci_high":49388.72704227243,"ci_low":39519.39775772757,"coef":44454.0624,"p":1.3268388786759376e-61,"se":2514.908102635277,"t":17.676217414631683,"term":"Intercept"},{"ci_high":19846.244868180875,"ci_low":-4295.224931338769,"coef":7775.509968421053,"p":0.20652012479022175,"se":6151.743067627993,"t":1.2639523274854776,"term":"HASCOMPSTAT"}]},"tool":"infer.ols","version":"0.1.0","warnings":["4 rows were dropped because one of 'PART2arrests', 'HASCOMPSTAT' was missing"]},"result_for_model_ref":"3a6fce65cf5c6fdaa7f0df9d6af9a2e0a889a79156a5e2926bef95007a0d80f1","result_sha256":"b78625ed6f9ab865a1d7a6f7ba14ef942da3ec8aa2c02eeaf7acdd5d51bb6d59","run_id":"20261015T171142Z-suite-causcibench_real-naive-d6494d","seq":2,"synthetic":false,"task_id":"causcibench_real.q050","timestamp":"2026-10-15T17:11:43.722694Z","tool_id":"infer.ols","turn_id":"call_85b0c413"}
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