{"attempt":1,"datasets":{"d":{"description_shown":"NIST StRD Wampler2 (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.wampler2","task_sha256":"5b848b6656a63b1c141ff08eb0ce17a40ceb985fa281298787d4477b616d03ab","timestamp":"2026-10-15T17:12:52.578431Z"}
{"arguments":{"cluster":null,"controls":[],"dataset":"d","fe":[],"intercept":true,"level":0.95,"se":"classical","subset":null,"weights":null,"x":["x1","x2","x3","x4","x5"],"y":"y"},"attempt":1,"cached":false,"call_id":"call_0bd46124","card_version":"0.1.0","code_version":"2925aeab2262","dataset_digests":{"d":"f65ddf7b108d15740e1763756dc3b714f9f818e5d171fcf853e1ef7e24fc0f94"},"decided_by":"code","duration_ms":1.5939581207931042,"epoch":1,"error":null,"event":"tool","informed_by":[],"input_digest":"ca711fd78ee291c6201c13bdbf8dace46e35d7a41afb8c108855feffe8318e0a","llm_name":null,"output_digest":"33ec5d52af44f8723e687f4cb4438e6117707852bb7b6171948aa7871249dd39","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_0bd46124","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":"","value":1.0},{"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":0.10000000000000231,"ci_level":0.95,"ci_low":0.09999999999999931,"derivation":{"note_pt":"","steps":[{"formula":"","result":0.10000000000000081,"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.","unit":""},{"formula":"ep = \u221aV_jj","result":7.011714979363795e-16,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":4.916414695183462e-31}],"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":0.10000000000000081},{"note":"quantil 0.975","symbol":"c","unit":"","value":2.131449545559776},{"note":"","symbol":"ep","unit":"","value":7.011714979363795e-16}],"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":7.011714979363795e-16,"unit":"","value":0.10000000000000081},{"ci_high":0.01000000000000011,"ci_level":0.95,"ci_low":0.009999999999999124,"derivation":{"note_pt":"","steps":[{"formula":"","result":0.009999999999999617,"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.","unit":""},{"formula":"ep = \u221aV_jj","result":2.312001291703012e-16,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":5.345349972836397e-32}],"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":0.009999999999999617},{"note":"quantil 0.975","symbol":"c","unit":"","value":2.131449545559776},{"note":"","symbol":"ep","unit":"","value":2.312001291703012e-16}],"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":2.312001291703012e-16,"unit":"","value":0.009999999999999617},{"ci_high":0.001000000000000127,"ci_level":0.95,"ci_low":0.0009999999999999987,"derivation":{"note_pt":"","steps":[{"formula":"","result":0.001000000000000063,"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.","unit":""},{"formula":"ep = \u221aV_jj","result":3.010373438771373e-17,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":9.062348240860181e-34}],"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":0.001000000000000063},{"note":"quantil 0.975","symbol":"c","unit":"","value":2.131449545559776},{"note":"","symbol":"ep","unit":"","value":3.010373438771373e-17}],"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":3.010373438771373e-17,"unit":"","value":0.001000000000000063},{"ci_high":9.999999999999945e-05,"ci_level":0.95,"ci_low":9.999999999999232e-05,"derivation":{"note_pt":"","steps":[{"formula":"","result":9.999999999999588e-05,"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.","unit":""},{"formula":"ep = \u221aV_jj","result":1.6748435890457098e-18,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":2.8051010477675147e-36}],"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":9.999999999999588e-05},{"note":"quantil 0.975","symbol":"c","unit":"","value":2.131449545559776},{"note":"","symbol":"ep","unit":"","value":1.6748435890457098e-18}],"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":1.6748435890457098e-18,"unit":"","value":9.999999999999588e-05},{"ci_high":1.0000000000000162e-05,"ci_level":0.95,"ci_low":1.000000000000002e-05,"derivation":{"note_pt":"","steps":[{"formula":"","result":1.000000000000009e-05,"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.","unit":""},{"formula":"ep = \u221aV_jj","result":3.33223028101317e-20,"terms":[{"note":"diagonal da matriz de covari\u00e2ncia","symbol":"V_jj","unit":"","value":1.1103758645701112e-39}],"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":1.000000000000009e-05},{"note":"quantil 0.975","symbol":"c","unit":"","value":2.131449545559776},{"note":"","symbol":"ep","unit":"","value":3.33223028101317e-20}],"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":3.33223028101317e-20,"unit":"","value":1.000000000000009e-05}],"notes":"","reason":"","status":"ok","tables":{"coefficients":[{"ci_high":1.000000000000001,"ci_low":0.9999999999999984,"coef":0.9999999999999998,"p":1.6027087652848521e-220,"se":6.38509323214504e-16,"t":1566147844115433.2,"term":"Intercept"},{"ci_high":0.10000000000000231,"ci_low":0.09999999999999931,"coef":0.10000000000000081,"p":6.52694236541898e-205,"se":7.011714979363795e-16,"t":142618461095910.47,"term":"x1"},{"ci_high":0.01000000000000011,"ci_low":0.009999999999999124,"coef":0.009999999999999617,"p":3.8651562292426675e-197,"se":2.312001291703012e-16,"t":43252570990709.31,"term":"x2"},{"ci_high":0.001000000000000127,"ci_low":0.0009999999999999987,"coef":0.001000000000000063,"p":2.0260565766406594e-195,"se":3.010373438771373e-17,"t":33218470078190.5,"term":"x3"},{"ci_high":9.999999999999945e-05,"ci_low":9.999999999999232e-05,"coef":9.999999999999588e-05,"p":3.0687378853716705e-199,"se":1.6748435890457098e-18,"t":59707067963865.06,"term":"x4"},{"ci_high":1.0000000000000162e-05,"ci_low":1.000000000000002e-05,"coef":1.000000000000009e-05,"p":9.297604461313668e-210,"se":3.33223028101317e-20,"t":300099307571251.44,"term":"x5"}]},"tool":"infer.ols","version":"0.1.0","warnings":[]},"result_for_model_ref":null,"result_sha256":"7c2a286714ab7d2df9a5964a5d1b693485a2a09a1ee68b7beb85ad54bb259831","run_id":"20261015T171252Z-suite-strd-scripted-d8a322","seq":1,"synthetic":false,"task_id":"strd.wampler2","timestamp":"2026-10-15T17:12:52.578431Z","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.wampler2","timestamp":"2026-10-15T17:12:52.580217Z"}
{"attempt":1,"check":{"check_index":1,"detail":"figure coef.x1: LRE 14.09 (min 6.0) \u2014 B1","expected":0.1,"failure_class":null,"kind":"figure_lre","observed":14.094,"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.wampler2","timestamp":"2026-10-15T17:12:52.580217Z"}
{"attempt":1,"check":{"check_index":2,"detail":"figure coef.x2: LRE 13.42 (min 6.0) \u2014 B2","expected":0.01,"failure_class":null,"kind":"figure_lre","observed":13.416,"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.wampler2","timestamp":"2026-10-15T17:12:52.580217Z"}
{"attempt":1,"check":{"check_index":3,"detail":"figure coef.x3: LRE 13.20 (min 6.0) \u2014 B3","expected":0.001,"failure_class":null,"kind":"figure_lre","observed":13.201,"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.wampler2","timestamp":"2026-10-15T17:12:52.580217Z"}
{"attempt":1,"check":{"check_index":4,"detail":"figure coef.x4: LRE 13.39 (min 6.0) \u2014 B4","expected":0.0001,"failure_class":null,"kind":"figure_lre","observed":13.385,"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.wampler2","timestamp":"2026-10-15T17:12:52.580217Z"}
{"attempt":1,"check":{"check_index":5,"detail":"figure coef.x5: LRE 14.05 (min 6.0) \u2014 B5","expected":1e-05,"failure_class":null,"kind":"figure_lre","observed":14.047,"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.wampler2","timestamp":"2026-10-15T17:12:52.580217Z"}
{"attempt":1,"check":{"check_index":6,"detail":"figure coef.x1.se: LRE 15.00 (min 6.0) \u2014 SE of B1","expected":0.0,"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.wampler2","timestamp":"2026-10-15T17:12:52.580217Z"}
{"attempt":1,"check":{"check_index":7,"detail":"figure coef.x2.se: LRE 15.00 (min 6.0) \u2014 SE of B2","expected":0.0,"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":9,"task_id":"strd.wampler2","timestamp":"2026-10-15T17:12:52.580217Z"}
{"attempt":1,"check":{"check_index":8,"detail":"figure coef.x3.se: LRE 15.00 (min 6.0) \u2014 SE of B3","expected":0.0,"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":10,"task_id":"strd.wampler2","timestamp":"2026-10-15T17:12:52.580217Z"}
{"attempt":1,"check":{"check_index":9,"detail":"figure coef.x4.se: LRE 15.00 (min 6.0) \u2014 SE of B4","expected":0.0,"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":11,"task_id":"strd.wampler2","timestamp":"2026-10-15T17:12:52.580217Z"}
{"attempt":1,"check":{"check_index":10,"detail":"figure coef.x5.se: LRE 15.00 (min 6.0) \u2014 SE of B5","expected":0.0,"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":12,"task_id":"strd.wampler2","timestamp":"2026-10-15T17:12:52.580217Z"}