{"attempt":1,"datasets":{"senate":{"description_shown":"U.S. Senate elections, 1914-2010, the extract of the data of Cattaneo, Frandsen and Titiunik (2015) that ships with the rdrobust package as its illustration: one row per state and Senate election (1,390 rows). Columns: state, state code; year, year of the election; margin, the Democratic party's margin of victory in that election, in percentage points (negative when the Democratic candidate lost); vote, the Democratic party's vote share, in percent, in the next election for the same Senate seat (missing for some rows); class, the seat's Senate class (1, 2 or 3); termshouse and termssenate, terms the Democratic candidate had served in the House and in the Senate; population, the state's population.","file_sha256":"def1fc6b8ae5af273f2140aa449c81b3ecfe1d0f325aa80ceccb0d9638a2ad44","frame_sha256":null,"role":"agent","transforms":[]}},"epoch":1,"event":"sample_init","question":"Calonico, Cattaneo, Farrell and Titiunik (2017), 'rdrobust: Software for Regression-discontinuity Designs', the U.S. Senate example (data of Cattaneo, Frandsen and Titiunik 2015): estimate the incumbency advantage as a sharp regression discontinuity, the jump at a Democratic lead of zero in the Democratic party's share of the votes in the next election for the same seat, where the running variable is the Democratic lead over the strongest opponent in the current election, in percentage points. Use a local linear regression on each side of zero with kernel weights that fall linearly from one at zero to nothing at the bandwidth, and the bandwidth h = 16.79369 percentage points that Calonico, Cattaneo and Titiunik (2014) selected for this example (use it as given; do not recompute it). Report the conventional point estimate of the jump.","question_sha256":"25940f767dfb4c0e2bc75d00843a10f9e46e80b4bbb16d11afbc48ac7d8fa609","run_id":"20261015T165744Z-suite-paper_repro-scripted-def9df","seq":0,"skills":[],"task_id":"paper_repro.ccft_2017.senate_h16794.agent","task_sha256":"de9bcac54a8cc760db300c7d6b5965f7d5f37ef2178001252ab4350265060752","timestamp":"2026-10-15T16:57:55.312504Z"}
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{"answer":"Estimativa (infer.rdd): effect = 7,425.","answer_figure":{"call_id":"call_eb385e88","ci_high":10.361137905260883,"ci_low":4.489470776983827,"formatted":7.425304341122355,"key":"effect","ref":"call_eb385e88:effect","se":1.497901791714546,"tool_id":"infer.rdd","unit":"","value":7.425304341122355},"attempt":1,"caveats":[],"epoch":1,"event":"answer","figure_refs":["call_eb385e88:effect"],"run_id":"20261015T165744Z-suite-paper_repro-scripted-def9df","seq":5,"stopped":"answered","task_id":"paper_repro.ccft_2017.senate_h16794.agent","timestamp":"2026-10-15T16:57:55.326243Z"}
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{"attempt":1,"check":{"check_index":9,"detail":"343 vs 343","expected":343,"failure_class":null,"kind":"diagnostic","observed":343,"passed":true,"required":true,"source_id":null,"tolerance":{"abs_tol":null,"interval":null,"min_lre":null,"open_interval":false,"rel_tol":null,"rule":"default rel 1e-6 (abs floor 1e-6)"},"trace_call_id":"call_eb385e88","weight":1.0},"epoch":1,"event":"score","run_id":"20261015T165744Z-suite-paper_repro-scripted-def9df","seq":15,"task_id":"paper_repro.ccft_2017.senate_h16794.agent","timestamp":"2026-10-15T16:57:55.326243Z"}
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{"attempt":1,"check":{"check_index":11,"detail":"7.425304341 vs 7.425304341122386","expected":7.425304341122386,"failure_class":null,"kind":"answer_figure_close","observed":7.425304341122355,"passed":true,"required":true,"source_id":"ccft_2017.senate_h16794.software","tolerance":{"abs_tol":1.4979017917145529e-06,"interval":null,"min_lre":null,"open_interval":false,"rel_tol":1e-06,"rule":null},"trace_call_id":"call_eb385e88","weight":1.0},"epoch":1,"event":"score","run_id":"20261015T165744Z-suite-paper_repro-scripted-def9df","seq":17,"task_id":"paper_repro.ccft_2017.senate_h16794.agent","timestamp":"2026-10-15T16:57:55.326243Z"}
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