{"attempt":1,"datasets":{"d":{"description_shown":"NIST StRD Wampler5 (21 observations): outcome y, predictors x1, x2, x3, x4, x5 (x_j = x**j), const = 1","file_sha256":null,"frame_sha256":null,"role":"agent","transforms":[]}},"epoch":1,"event":"sample_init","question":"","question_sha256":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":0,"skills":[],"task_id":"strd.wampler5.explicit_constant","task_sha256":"afae0c5efc013911c42452b9368348e4ab544469bf0efcb9f62d4932d5e96cf1","timestamp":"2026-10-15T17:12:52.600713Z"}
{"arguments":{"cluster":null,"controls":[],"dataset":"d","fe":[],"intercept":false,"level":0.95,"se":"classical","subset":null,"weights":null,"x":["const","x1","x2","x3","x4","x5"],"y":"y"},"attempt":1,"cached":false,"call_id":"call_9e85d9d6","card_version":"0.1.0","code_version":"2925aeab2262","dataset_digests":{"d":"5f47186cea38f1a183097a9a5e83db9d9245bea26415185a8019fd82407f6a2c"},"decided_by":"code","duration_ms":1.63162499666214,"epoch":1,"error":null,"event":"tool","informed_by":[],"input_digest":"df11cc033ea9eea35070ebb9753d61913b1f67ffdac19046230c26be6c1a555a","llm_name":null,"output_digest":"c79226835702b880bebe4e1acdde8e3c12e5774ed36753d80e65a4b43f716c57","rationale":"","replay_class":"replayed","result":{"assumptions":["the conditional mean of the outcome is linear in the regressors","errors are independent and have the same variance for every observation"],"call_id":"call_9e85d9d6","datasets":{},"diagnostics":[{"flag":false,"name":"n_obs","note":"observations used","value":21},{"flag":false,"name":"k","note":"parameters estimated, fixed-effect dummies included","value":6},{"flag":false,"name":"r2","note":"uncentred: the model has no constant","value":0.003219855769759361},{"flag":false,"name":"df_resid","note":"","value":15},{"flag":false,"name":"se_type","note":"classical (homoskedastic) standard errors","value":"classical"},{"flag":false,"name":"n_clusters","note":"errors not clustered","value":null}],"figures":[{"ci_high":45875749.005991995,"ci_level":0.95,"ci_low":-45875747.005991995,"derivation":{"note_pt":"","steps":[{"formula":"","result":1.0,"terms":[{"note":"","symbol":"n","unit":"observa\u00e7\u00f5es","value":21.0},{"note":"","symbol":"k","unit":"par\u00e2metros","value":6.0}],"text_pt":"Coeficiente de const na regress\u00e3o por m\u00ednimos quadrados ordin\u00e1rios de y sem constante.","unit":""},{"formula":"ep = \u221aV_jj","result":21523262.467816845,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":463250827258533.25}],"text_pt":"Erro-padr\u00e3o cl\u00e1ssico (homoced\u00e1stico): a raiz da vari\u00e2ncia estimada do coeficiente.","unit":""},{"formula":"IC = \u03b2 \u00b1 c \u00b7 ep","result":null,"terms":[{"note":"","symbol":"\u03b2","unit":"","value":1.0},{"note":"quantil 0.975","symbol":"c","unit":"","value":2.131449545559776},{"note":"","symbol":"ep","unit":"","value":21523262.467816845}],"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 15 graus de liberdade vezes o erro-padr\u00e3o.","unit":""}]},"key":"coef.const","label":"Coefficient on const in the regression of y","se":21523262.467816845,"unit":"","value":1.0},{"ci_high":50377913.70826451,"ci_level":0.95,"ci_low":-50377911.70826451,"derivation":{"note_pt":"","steps":[{"formula":"","result":1.0,"terms":[{"note":"","symbol":"n","unit":"observa\u00e7\u00f5es","value":21.0},{"note":"","symbol":"k","unit":"par\u00e2metros","value":6.0}],"text_pt":"Coeficiente de x1 na regress\u00e3o por m\u00ednimos quadrados ordin\u00e1rios de y sem constante.","unit":""},{"formula":"ep = \u221aV_jj","result":23635517.3469677,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":558637680258811.1}],"text_pt":"Erro-padr\u00e3o cl\u00e1ssico (homoced\u00e1stico): a raiz da vari\u00e2ncia estimada do coeficiente.","unit":""},{"formula":"IC = \u03b2 \u00b1 c \u00b7 ep","result":null,"terms":[{"note":"","symbol":"\u03b2","unit":"","value":1.0},{"note":"quantil 0.975","symbol":"c","unit":"","value":2.131449545559776},{"note":"","symbol":"ep","unit":"","value":23635517.3469677}],"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 15 graus de liberdade vezes o erro-padr\u00e3o.","unit":""}]},"key":"coef.x1","label":"Coefficient on x1 in the regression of y","se":23635517.3469677,"unit":"","value":1.0},{"ci_high":16611315.007714761,"ci_level":0.95,"ci_low":-16611313.007714761,"derivation":{"note_pt":"","steps":[{"formula":"","result":1.0,"terms":[{"note":"","symbol":"n","unit":"observa\u00e7\u00f5es","value":21.0},{"note":"","symbol":"k","unit":"par\u00e2metros","value":6.0}],"text_pt":"Coeficiente de x2 na regress\u00e3o por m\u00ednimos quadrados ordin\u00e1rios de y sem constante.","unit":""},{"formula":"ep = \u221aV_jj","result":7793435.2433156865,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":60737632891755.03}],"text_pt":"Erro-padr\u00e3o cl\u00e1ssico (homoced\u00e1stico): a raiz da vari\u00e2ncia estimada do coeficiente.","unit":""},{"formula":"IC = \u03b2 \u00b1 c \u00b7 ep","result":null,"terms":[{"note":"","symbol":"\u03b2","unit":"","value":1.0},{"note":"quantil 0.975","symbol":"c","unit":"","value":2.131449545559776},{"note":"","symbol":"ep","unit":"","value":7793435.2433156865}],"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 15 graus de liberdade vezes o erro-padr\u00e3o.","unit":""}]},"key":"coef.x2","label":"Coefficient on x2 in the regression of y","se":7793435.2433156865,"unit":"","value":1.0},{"ci_high":2162900.2445363617,"ci_level":0.95,"ci_low":-2162898.2445363617,"derivation":{"note_pt":"","steps":[{"formula":"","result":1.0,"terms":[{"note":"","symbol":"n","unit":"observa\u00e7\u00f5es","value":21.0},{"note":"","symbol":"k","unit":"par\u00e2metros","value":6.0}],"text_pt":"Coeficiente de x3 na regress\u00e3o por m\u00ednimos quadrados ordin\u00e1rios de y sem constante.","unit":""},{"formula":"ep = \u221aV_jj","result":1014755.0755034768,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":1029727863260.0669}],"text_pt":"Erro-padr\u00e3o cl\u00e1ssico (homoced\u00e1stico): a raiz da vari\u00e2ncia estimada do coeficiente.","unit":""},{"formula":"IC = \u03b2 \u00b1 c \u00b7 ep","result":null,"terms":[{"note":"","symbol":"\u03b2","unit":"","value":1.0},{"note":"quantil 0.975","symbol":"c","unit":"","value":2.131449545559776},{"note":"","symbol":"ep","unit":"","value":1014755.0755034768}],"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 15 graus de liberdade vezes o erro-padr\u00e3o.","unit":""}]},"key":"coef.x3","label":"Coefficient on x3 in the regression of y","se":1014755.0755034768,"unit":"","value":1.0},{"ci_high":120335.50358045928,"ci_level":0.95,"ci_low":-120333.50358045928,"derivation":{"note_pt":"","steps":[{"formula":"","result":1.0,"terms":[{"note":"","symbol":"n","unit":"observa\u00e7\u00f5es","value":21.0},{"note":"","symbol":"k","unit":"par\u00e2metros","value":6.0}],"text_pt":"Coeficiente de x4 na regress\u00e3o por m\u00ednimos quadrados ordin\u00e1rios de y sem constante.","unit":""},{"formula":"ep = \u221aV_jj","result":56456.65121707406,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":3187353466.64635}],"text_pt":"Erro-padr\u00e3o cl\u00e1ssico (homoced\u00e1stico): a raiz da vari\u00e2ncia estimada do coeficiente.","unit":""},{"formula":"IC = \u03b2 \u00b1 c \u00b7 ep","result":null,"terms":[{"note":"","symbol":"\u03b2","unit":"","value":1.0},{"note":"quantil 0.975","symbol":"c","unit":"","value":2.131449545559776},{"note":"","symbol":"ep","unit":"","value":56456.65121707406}],"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 15 graus de liberdade vezes o erro-padr\u00e3o.","unit":""}]},"key":"coef.x4","label":"Coefficient on x4 in the regression of y","se":56456.65121707406,"unit":"","value":1.0},{"ci_high":2395.147604612826,"ci_level":0.95,"ci_low":-2393.147604612826,"derivation":{"note_pt":"","steps":[{"formula":"","result":1.0,"terms":[{"note":"","symbol":"n","unit":"observa\u00e7\u00f5es","value":21.0},{"note":"","symbol":"k","unit":"par\u00e2metros","value":6.0}],"text_pt":"Coeficiente de x5 na regress\u00e3o por m\u00ednimos quadrados ordin\u00e1rios de y sem constante.","unit":""},{"formula":"ep = \u221aV_jj","result":1123.2485467930974,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":1261687.297872805}],"text_pt":"Erro-padr\u00e3o cl\u00e1ssico (homoced\u00e1stico): a raiz da vari\u00e2ncia estimada do coeficiente.","unit":""},{"formula":"IC = \u03b2 \u00b1 c \u00b7 ep","result":null,"terms":[{"note":"","symbol":"\u03b2","unit":"","value":1.0},{"note":"quantil 0.975","symbol":"c","unit":"","value":2.131449545559776},{"note":"","symbol":"ep","unit":"","value":1123.2485467930974}],"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 15 graus de liberdade vezes o erro-padr\u00e3o.","unit":""}]},"key":"coef.x5","label":"Coefficient on x5 in the regression of y","se":1123.2485467930974,"unit":"","value":1.0}],"notes":"","reason":"","status":"ok","tables":{"coefficients":[{"ci_high":45875749.005991995,"ci_low":-45875747.005991995,"coef":1.0,"p":0.9999999635414786,"se":21523262.467816845,"t":4.646135786780806e-08,"term":"const"},{"ci_high":50377913.70826451,"ci_low":-50377911.70826451,"coef":1.0,"p":0.9999999667996975,"se":23635517.3469677,"t":4.23092071698737e-08,"term":"x1"},{"ci_high":16611315.007714761,"ci_low":-16611313.007714761,"coef":1.0,"p":0.9999998993118823,"se":7793435.2433156865,"t":1.283131210793963e-07,"term":"x2"},{"ci_high":2162900.2445363617,"ci_low":-2162898.2445363617,"coef":1.0,"p":0.9999992267037193,"se":1014755.0755034768,"t":9.854594710983278e-07,"term":"x3"},{"ci_high":120335.50358045928,"ci_low":-120333.50358045928,"coef":1.0,"p":0.9999861007284577,"se":56456.65121707406,"t":1.771270485305675e-05,"term":"x4"},{"ci_high":2395.147604612826,"ci_low":-2393.147604612826,"coef":1.0,"p":0.9993013957441996,"se":1123.2485467930974,"t":0.0008902749109758699,"term":"x5"}]},"tool":"infer.ols","version":"0.1.0","warnings":[]},"result_for_model_ref":null,"result_sha256":"4d9d0bc4ac2d5e80a820a4e51330f166b1157b4b3b3254117ada2169eb3c94ad","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":1,"synthetic":false,"task_id":"strd.wampler5.explicit_constant","timestamp":"2026-10-15T17:12:52.600713Z","tool_id":"infer.ols","turn_id":null}
{"attempt":1,"check":{"check_index":0,"detail":"status ok","expected":"ok","failure_class":null,"kind":"status","observed":"ok","passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":2,"task_id":"strd.wampler5.explicit_constant","timestamp":"2026-10-15T17:12:52.602492Z"}
{"attempt":1,"check":{"check_index":1,"detail":"figure coef.const: LRE 15.00 (min 6.0) \u2014 B0","expected":1.0,"failure_class":null,"kind":"figure_lre","observed":15.0,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":3,"task_id":"strd.wampler5.explicit_constant","timestamp":"2026-10-15T17:12:52.602492Z"}
{"attempt":1,"check":{"check_index":2,"detail":"figure coef.x1: LRE 15.00 (min 6.0) \u2014 B1","expected":1.0,"failure_class":null,"kind":"figure_lre","observed":15.0,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":4,"task_id":"strd.wampler5.explicit_constant","timestamp":"2026-10-15T17:12:52.602492Z"}
{"attempt":1,"check":{"check_index":3,"detail":"figure coef.x2: LRE 15.00 (min 6.0) \u2014 B2","expected":1.0,"failure_class":null,"kind":"figure_lre","observed":15.0,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":5,"task_id":"strd.wampler5.explicit_constant","timestamp":"2026-10-15T17:12:52.602492Z"}
{"attempt":1,"check":{"check_index":4,"detail":"figure coef.x3: LRE 15.00 (min 6.0) \u2014 B3","expected":1.0,"failure_class":null,"kind":"figure_lre","observed":15.0,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":6,"task_id":"strd.wampler5.explicit_constant","timestamp":"2026-10-15T17:12:52.602492Z"}
{"attempt":1,"check":{"check_index":5,"detail":"figure coef.x4: LRE 15.00 (min 6.0) \u2014 B4","expected":1.0,"failure_class":null,"kind":"figure_lre","observed":15.0,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":7,"task_id":"strd.wampler5.explicit_constant","timestamp":"2026-10-15T17:12:52.602492Z"}
{"attempt":1,"check":{"check_index":6,"detail":"figure coef.x5: LRE 15.00 (min 6.0) \u2014 B5","expected":1.0,"failure_class":null,"kind":"figure_lre","observed":15.0,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":8,"task_id":"strd.wampler5.explicit_constant","timestamp":"2026-10-15T17:12:52.602492Z"}
{"attempt":1,"check":{"check_index":7,"detail":"figure coef.const.se: LRE 14.14 (min 6.0) \u2014 SE of B0","expected":21523262.467817,"failure_class":null,"kind":"figure_lre","observed":14.138,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":9,"task_id":"strd.wampler5.explicit_constant","timestamp":"2026-10-15T17:12:52.602492Z"}
{"attempt":1,"check":{"check_index":8,"detail":"figure coef.x1.se: LRE 13.77 (min 6.0) \u2014 SE of B1","expected":23635517.3469681,"failure_class":null,"kind":"figure_lre","observed":13.773,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":10,"task_id":"strd.wampler5.explicit_constant","timestamp":"2026-10-15T17:12:52.602492Z"}
{"attempt":1,"check":{"check_index":9,"detail":"figure coef.x2.se: LRE 13.74 (min 6.0) \u2014 SE of B2","expected":7793435.24331583,"failure_class":null,"kind":"figure_lre","observed":13.735,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":11,"task_id":"strd.wampler5.explicit_constant","timestamp":"2026-10-15T17:12:52.602492Z"}
{"attempt":1,"check":{"check_index":10,"detail":"figure coef.x3.se: LRE 13.64 (min 6.0) \u2014 SE of B3","expected":1014755.0755035,"failure_class":null,"kind":"figure_lre","observed":13.641,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":12,"task_id":"strd.wampler5.explicit_constant","timestamp":"2026-10-15T17:12:52.602492Z"}
{"attempt":1,"check":{"check_index":11,"detail":"figure coef.x4.se: LRE 13.69 (min 6.0) \u2014 SE of B4","expected":56456.6512170752,"failure_class":null,"kind":"figure_lre","observed":13.694,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":13,"task_id":"strd.wampler5.explicit_constant","timestamp":"2026-10-15T17:12:52.602492Z"}
{"attempt":1,"check":{"check_index":12,"detail":"figure coef.x5.se: LRE 13.69 (min 6.0) \u2014 SE of B5","expected":1123.24854679312,"failure_class":null,"kind":"figure_lre","observed":13.694,"passed":true,"required":true,"source_id":null,"tolerance":null,"trace_call_id":null,"weight":1.0},"epoch":1,"event":"score","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":14,"task_id":"strd.wampler5.explicit_constant","timestamp":"2026-10-15T17:12:52.602492Z"}
