{"attempt":1,"datasets":{"online_classroom":{"description_shown":"To estimate the impacts of online class format on exam outcomes, the dataset online_classroom.csv was used to compare students in online classes versus face-to-face classes. In this analysis, the treatment effect is measured as the difference in exam scores between the two groups. Each row of the dataset contains a student's exam outcome (the variable falsexam), their classroom format (online, face-to-face, or blended), and other variables like gender and ethnicity.","file_sha256":"3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970","frame_sha256":null,"role":"agent","transforms":[]}},"epoch":1,"event":"sample_init","question":"What is the average treatment effect (ATE) of taking classes online on exam scores? Please use linear regression analysis considering only the students in face-to-face (format_blended = 0 and format_ol = 0) and online classes (format_ol = 1), do not consider other variables, and provide the ATE rounded to the nearest hundredth.","question_sha256":"66c10105e89f431b4fb2b5a78c3236119cebf552d4f6b706fadd3f6565bc5399","run_id":"20261015T170037Z-suite-qrdata_socsci-naive-761cb5","seq":0,"skills":[],"task_id":"qrdata_socsci.352","task_sha256":"68ef449ad45816cf83463bde9f3b9f3f9103777c767d636d3115f743ecbacab3","timestamp":"2026-10-15T17:00:37.584863Z"}
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{"arguments":{"cluster":null,"controls":[],"dataset":"online_classroom","fe":[],"intercept":true,"level":0.95,"se":"HC1","subset":null,"weights":null,"x":["format_ol"],"y":"falsexam"},"attempt":1,"cached":false,"call_id":"call_0e4cc298","card_version":"0.1.0","code_version":"62cdbe0860ad","dataset_digests":{"online_classroom":"819e31cc0b0da970e402eb74b0761ae5a8b01171b7da047cd9b86ab45e1e93dd"},"decided_by":"model","duration_ms":3.4247080329805613,"epoch":1,"error":null,"event":"tool","informed_by":[],"input_digest":"c5f949171289743e079807916ee750dffc9b01545d41c64c8fd74665737f545c","llm_name":"infer__ols","output_digest":"6ed7cc732daa95488bed8356ffa03ab6766e2eb68a37d8e397d6ca42f8d49d80","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_0e4cc298","datasets":{},"diagnostics":[{"flag":false,"name":"n_obs","note":"observations used","value":323},{"flag":false,"name":"k","note":"parameters estimated, fixed-effect dummies included","value":2},{"flag":false,"name":"r2","note":"","value":0.027089119551814034},{"flag":false,"name":"df_resid","note":"","value":321},{"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":-0.9435665886310911,"ci_level":0.95,"ci_low":-7.4969541407194615,"derivation":{"note_pt":"","steps":[{"formula":"","result":-4.220260364675276,"terms":[{"note":"","symbol":"n","unit":"observa\u00e7\u00f5es","value":323.0},{"note":"","symbol":"k","unit":"par\u00e2metros","value":2.0}],"text_pt":"Coeficiente de format_ol na regress\u00e3o por m\u00ednimos quadrados ordin\u00e1rios de falsexam.","unit":""},{"formula":"ep = \u221aV_jj","result":1.665509933515767,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":2.773923338639695}],"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":-4.220260364675276},{"note":"quantil 0.975","symbol":"c","unit":"","value":1.967381707011095},{"note":"","symbol":"ep","unit":"","value":1.665509933515767}],"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 321 graus de liberdade vezes o erro-padr\u00e3o.","unit":""}]},"key":"coef.format_ol","label":"Coefficient on format_ol in the regression of falsexam","se":1.665509933515767,"unit":"","value":-4.220260364675276}],"notes":"","reason":"","status":"ok","tables":{"coefficients":[{"ci_high":79.13301315091005,"ci_low":76.57803374865327,"coef":77.85552344978166,"p":1.2777878447231995e-268,"se":0.6493349493775605,"t":119.90040505968823,"term":"Intercept"},{"ci_high":-0.9435665886310911,"ci_low":-7.4969541407194615,"coef":-4.220260364675276,"p":0.011754847028575313,"se":1.665509933515767,"t":-2.533914856795013,"term":"format_ol"}]},"tool":"infer.ols","version":"0.1.0","warnings":[]},"result_for_model_ref":"cfc7eddc7d92b4db81098a3fbd3c6efcb899a6389dc496ddbfd5ff36ee6dda4b","result_sha256":"3d3cf86e18233791871bf3da8ec1970a214a3ba73da3f9d25b9c4acde1177f65","run_id":"20261015T170037Z-suite-qrdata_socsci-naive-761cb5","seq":2,"synthetic":false,"task_id":"qrdata_socsci.352","timestamp":"2026-10-15T17:00:37.615741Z","tool_id":"infer.ols","turn_id":"call_6dcae065"}
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