Tarefa crb_papers.q083
Veredito
0.3037430078 in [0.005303603824, 0.2111421984]?Família do método (das chamadas de ferramentas): ols (regression)
Pergunta feita ao analista
Among candidates at the win-loss margin, what is the average causal effect of holding office on the probability of running in the next election?
Estimativa ingênua (infer.ols): coef.win = 0,3037.
Valores esperados e de onde vêm
crb_papers.q083.gold
- Fonte
- CausalReasoningBenchmark, causal_queries.json, index 83 (revision edd0fe1c1d1c)
- Tipo
- benchmark_gold
- Localização
- causal_queries.json['83'].effect and .standard_error
- Trecho
index 83: effect 0.108223, standard_error 0.0525098
- Valor como publicado
0.10822290111227129- Erro-padrão como publicado
0.05250984555532867- Valor
- 0,108223
0.10822290111227129(se 0,05250980.05250984555532867) - Conferido por
- arquivo do benchmark · Read from the catalog at the pinned revision by scripts/freeze_crb_papers.py; the catalog states the value its estimation script prints.
- Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/causal_queries.json- Licença
- MIT
- #2 figura da resposta próxima: 0,108223
0.10822290111227129· relativa 0.000001 · absoluta 5.250984555532867e-8 - #3 figura da resposta próxima: 0,0525098
0.05250984555532867· relativa 0.000001 · absoluta 5.250984555532867e-8
crb_papers.q083.script
- Fonte
- CausalReasoningBenchmark reference estimation script for index 83
- Tipo
- software
- Localização
- solutions/research_papers/RDD/ariga_2015/question_1/estimation.py
- Valor
- —
- Conferido por
- arquivo do benchmark · sha256 of the script's 1353 bytes at the pinned revision; the reference path of the item is a transcription of this script into typed transforms and tool calls (never executed here).
- Implementação
- independente da ferramenta
- sha256 da cópia lida
68ec0626e445b55de9c3fe6ec7f38b3d23f096f3b4cb317062cef0a16580ff7f(identifica a cópia lida, não um arquivo canônico)- Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/RDD/ariga_2015/question_1/estimation.py- Licença
- MIT
Verificações
| # | Verificação | Obrigatória | Resultado | Esperado | Observado | Tolerância | Fonte | Chamada |
|---|---|---|---|---|---|---|---|---|
| 0 | resposta com lastro every number backed | obrigatória | passou | — | [] | — | — | — |
| 1 | figura da resposta próxima 0.3037430078 in [0.005303603824, 0.2111421984]? | obrigatória | falhou | [0.005303603823827094,0.21114219840071546] | 0,3037430.30374300778395574 | interval · [0.005303603823827094, 0.21114219840071546] | — | call_e11f351c |
| 2 | figura da resposta próxima 0.3037430078 vs 0.10822290111227129 | registrada | falhou | 0,1082230.10822290111227129 | 0,3037430.30374300778395574 | relativa 0.000001 · absoluta 5.250984555532867e-8 | crb_papers.q083.gold | call_e11f351c |
| 3 | figura da resposta próxima 0.01877928688 vs 0.05250984555532867 | registrada | falhou | 0,05250980.05250984555532867 | 0,01877930.018779286880855804 | relativa 0.000001 · absoluta 5.250984555532867e-8 | crb_papers.q083.gold | call_e11f351c |
Caminho de referência e caminho do agente
A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.
Nenhum caminho de referência registrado para esta tarefa.
Trajetória
Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.
- 0Início
Among candidates at the win-loss margin, what is the average causal effect of holding office on the probability of running in the next election?
ds_0053(agent)| Variable Name | Description | |------------------------------------|------------------------------------------------------------------------------------------------------| | Unnamed: 0 | Row index from the source file. | | eleid | Election identifier (unique ID for a national lower-house election). | | next.year | Calendar year of the next election following the current observation. | | year | Calendar year of the current election. | | lag.year | Calendar year of the previous election. | | distid | District identifier (numeric). | | dist | District name. | | eleid.distid | Combined election–district identifier (unique within the dataset). | | after.redist | Indicator for election held after a redistricting event. | | next.after.redist | Indicator for whether the next election occurs after a redistricting event. | | jpmmd2010.jiban | Code for candidate’s local support base (jiban) classification from the 2010 coding. | | ptyid | Party identifier in the current election (e.g., LDP). | | ptyid.org | Original party identifier (pre-merger or organizational mapping). | | next.ptyid | Party identifier in the next election. | | next.ptyid.org | Original party identifier in the next election (pre-merger mapping). | | candid | Candidate identifier. | | candname | Candidate name (romanized). | | win | Indicator that the candidate won a seat in the current election. | | d.vts | Candidate’s vote share in the district (current election). | | d.vts.mgn | Candidate’s vote-share margin relative to the district winning threshold in the current election. | | next.run.win | Indicator that the candidate both ran in the next election and won a seat. | | next.run.cand | Indicator that the candidate ran again in the next election. | | next.run.win.successor | Indicator that a designated successor both ran and won in the next election. | | next.run.cand.successor | Indicator that a designated successor ran in the next election. | | next.run.win.heir | Indicator that a hereditary heir both ran and won in the next election. | | next.run.cand.heir | Indicator that a hereditary heir ran in the next election. | | lag.run.cand.samedist | Indicator that the candidate ran in the previous election in the same district. | | lag.win.samedist | Indicator that the candidate won in the previous election in the same district. | | lag.d.vts | Candidate’s vote share in the previous election. | | numrun | Number of times the candidate has run up to the current election. | | senior | Seniority measure (e.g., prior terms or runs within party/caucus conventions). | | age | Candidate age at the time of the current election. | | female | Indicator for female candidate. | | quality.cand | Candidate quality indicator (1 if prior elected office or career bureaucrat, 0 otherwise). | | prev.elect.office | Indicator for any prior elected office experience. | | local.elect.office | Indicator for prior local elected office (e.g., assembly, mayor). | | nat.loc.bur | Indicator for national or local bureaucratic career background. | | jpmmd2010.gov | Indicator for national government experience (2010 coding). | | jpmmd2010.mayor | Indicator for mayoral experience (2010 coding). | | jpmmd2010.assy | Indicator for local assembly experience (2010 coding). | | jpmmd2010.bur | Indicator for central government bureaucratic career (2010 coding). | | jpmmd2010.kenchou | Indicator for prefectural government career (2010 coding). | | jpmmd2010.qual | Composite candidate-quality flag from the 2010 coding. | | jpmmd2010.sec | Indicator for former legislator’s secretary (political aide) background (2010 coding). | | jpmmd2010.news | Indicator for journalist/media background (2010 coding). | | jpmmd2010.ag | Indicator for agricultural cooperative/agrarian leadership background (2010 coding). | | jpmmd2010.talent | Indicator for celebrity/entertainer background (2010 coding). | | jpmmd2010.successor | Indicator for being a designated political successor (2010 coding). | | heir | Indicator for hereditary connection to a previous legislator (family tie). | | dm | District magnitude (number of seats in the district). | | lag.d.ptyvts | Party vote share in the district in the previous election. | | lag.d.ptyseat.samedist | Number of seats won by the party in the same district in the previous election. | | d.elect | Size of the electorate (registered voters) in the current election. | | lag.d.valvote | Number of valid votes cast in the previous election (district level). | | lag.d.turnout | Turnout rate in the previous election (district level). | | d.numcan | Number of candidates in the district in the current election. | | lag.d.eff.numcan | Effective number of candidates in the district in the previous election. | | d.numcan.samepty | Number of co-partisan candidates fielded in the district in the current election. | | lag.d.eff.numcan.smpty.smdist | Effective number of same-party candidates in the district in the previous election. | | pop.total | District population (census). | | pop.female.ratio | Share of females in the district population. | | pop.under15.ratio | Share of population under age 15. | | pop.over65.ratio | Share of population age 65 and over. | | pop.did.ratio | Share of residents in Densely Inhabited Districts (DID). | | pop.work1st.ratio | Share of workforce in primary sector (agriculture, forestry, fisheries). | | pop.work2nd.ratio | Share of workforce in secondary sector (manufacturing, construction). | | pop.work3rd.ratio | Share of workforce in tertiary sector (services). | | next.d.numcan.samepty | Number of co-partisan candidates in the district in the next election. | | d.numcan.samepty.1 | Alternate/duplicated count of co-partisan candidates in the current election. | | next.d.numinc | Number of incumbents on the ballot in the district in the next election. | | d.numinc | Number of incumbents on the ballot in the district in the current election. | | d.ldp.one.more.seat | Flag that the party could plausibly have gained one more seat in the district given its vote totals. | | ele.1960 | Indicator for the 1960 election year. | | ele.1963 | Indicator for the 1963 election year. | | ele.1967 | Indicator for the 1967 election year. | | ele.1969 | Indicator for the 1969 election year. | | ele.1972 | Indicator for the 1972 election year. | | ele.1976 | Indicator for the 1976 election year. | | ele.1979 | Indicator for the 1979 election year. | | ele.1980 | Indicator for the 1980 election year. | | ele.1983 | Indicator for the 1983 election year. | | ele.1986 | Indicator for the 1986 election year. | | ele.1990 | Indicator for the 1990 election year. | Data Description: This dataset assembles candidate-level and district-level information for Japan’s House of Representatives elections held under the single nontransferable vote (SNTV) in multimember districts from 1958 to 1993. It draws on the Reed–Smith Japan MMD data and linked reference sources, combining official election returns, candidate background codings, and census-based district demographics. Candidates include Liberal Democratic Party (LDP) nominees as well as LDP-related independents who commonly joined the party after election, reflecting the intraparty competition that characterized the SNTV era. Each record corresponds to a candidate in a given election and district, with identifiers for elections and districts, candidate attributes (age, gender, prior offices, bureaucratic career, secretary experience, hereditary or successor status), party information, and detailed election statistics (vote share, vote-share margin, counts of co-partisan candidates, incumbents, electorate size, valid votes, and turnout). Forward- and backward-looking indicators mark whether the same candidate (or a successor/heir) ran or won in adjacent elections. District demographics include population size and composition, urbanization (DID), and industrial structure, and year dummies tag specific election years. The file also contains flags related to redistricting and district magnitude, enabling analysts to study candidate performance and party competition across time and districts during Japan’s pre-1994 electoral system.
file4779655b8f0ac7b0645e51f3f4b3d85985adaf80cda15d6c8112abb9bddb4144· frame — - 1Turno do modelo
call_ff1f58b0naive-olsFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheTexto visívelLinha de base ingênua: regressão do resultado no tratamento, sem controles.
Chamadas pedidasinfer.ols{ "dataset": "ds_0053", "x": [ "win" ], "y": "next.run.cand" }
- 2Ferramenta
infer.olsv0.1.0call_e11f351cdecidido pelo modeloreexecutávelMotivo: Linha de base ingênua: regressão do resultado no tratamento, sem controles.
Argumentos
{ "cluster": null, "controls": [], "dataset": "ds_0053", "fe": [], "intercept": true, "level": 0.95, "se": "HC1", "subset": null, "weights": null, "x": [ "win" ], "y": "next.run.cand" }Figuras call_e11f351c Chave Valor Valor bruto Erro-padrão IC coef.win Coefficient on win in the regression of next.run.cand0,303743 0.303743007783955740,0187793 0.0187792868808558040,266919 – 0,340567 Diagnósticosn_obs= 2.6122612k= 22r2= 0,1170260.11702617698530626df_resid= 2.6102610se_type="HC1"n_clusters= —
Tabelas (1)
{ "coefficients": [ { "ci_high": 0.6067970891260299, "ci_low": 0.5398060098012645, "coef": 0.5733015494636472, "p": 1.3131293200963782e-205, "se": 0.017081949865264463, "t": 33.5618330451511, "term": "Intercept" }, { "ci_high": 0.3405668103071129, "ci_low": 0.2669192052607986, "coef": 0.30374300778395574, "p": 3.752371319448536e-56, "se": 0.018779286880855804, "t": 16.174363260492118, "term": "win" } ] }- Digests dos dados
ds_00531e3fa774593e7f0fe979e56c5bb669a7487752b23539cfddd71300447853532f- sha256 do resultado
dcfb157e224d6883b98c12a95337fc0f36dd2b747437ffab0c1cac72e4f2f9de
- 3Turno do modelo
call_33305917naive-olsFim:tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cacheChamadas pedidassubmit_answer(meta-ferramenta){ "answer": "Estimativa ingênua (infer.ols): coef.win = 0,3037.", "caveats": [], "figure_refs": [ "call_e11f351c:coef.win" ] }
- 4Guardaresposta aceita
- Números encontrados
- 0,3037
- Sem lastro
- —
- Não citados
- —
1 nova(s) tentativa(s) restante(s) - 5Resposta
Estimativa ingênua (infer.ols): coef.win = 0,3037.
Figuras citadas:call_e11f351c:coef.win· Parada:answeredFigura da resposta:call_e11f351c:coef.win= 0,3037430.30374300778395574(se 0,01877930.018779286880855804) - 6Pontuação#0resposta com lastropassouobrigatória
every number backed - 7Pontuação#1figura da resposta próximafalhouobrigatória
0.3037430078 in [0.005303603824, 0.2111421984]? - 8Pontuação#2figura da resposta próximafalhouregistrada
0.3037430078 vs 0.10822290111227129 - 9Pontuação#3figura da resposta próximafalhouregistrada
0.01877928688 vs 0.05250984555532867
Épocas × verificações
| # | 0 | 1 | 2 | 3 |
|---|---|---|---|---|
| Época 1 | passou | falhou | falhou | falhou |
Tentativas
Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.
- época 1, tentativa 1falhoupontuada(exibindo)
Downloads desta tarefa
99c0347d90b06c0dab8cbda724091e3ca3e034017cfd652a9c70eb084de0e839O hash de um zip é só de transporte: o que ancora a integridade é o RUN_SHA256SUMS que vai dentro dele, cópia exata do SHA256SUMS da execução.
| Arquivo | Tamanho | sha256 |
|---|---|---|
| attachments/068fc95fd198f9ee65aba4dff51f8a6e65052d54b3591acb788794ece9539a3f.json | 16,3 KB | 068fc95fd198f9ee65aba4dff51f8a6e65052d54b3591acb788794ece9539a3f |
| attachments/433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420.json | 2,4 KB | 433a6877aa6a378bbd4b7e2752e484d8cb7499c562d68222be231f62ff2fa420 |
| attachments/52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b.json | 64,0 KB | 52ab03d8ec104abb85572294bf8a469d75c5de9e74d6042caabff8017adc572b |
| attachments/664ef3051e709d8e46f92168fe29ed6f51890333e224ac6f12d423154f74acb4.json | 978 B | 664ef3051e709d8e46f92168fe29ed6f51890333e224ac6f12d423154f74acb4 |
| attachments/7c1bc1acd37103be9f5c1f55987d415bfba05977f4bcc3cac25a1dfe5fe50596.json | 872 B | 7c1bc1acd37103be9f5c1f55987d415bfba05977f4bcc3cac25a1dfe5fe50596 |
| attachments/a822aaacb04e87e4c4025bfd1cacbb79f24fe44ac242aa8749add5d16289d419.json | 169 B | a822aaacb04e87e4c4025bfd1cacbb79f24fe44ac242aa8749add5d16289d419 |
| attachments/c41de32b3fcce6f48682762576a1585546384a7cf41e14edf249fc9edb013a63.json | 229 B | c41de32b3fcce6f48682762576a1585546384a7cf41e14edf249fc9edb013a63 |
| native/crb_papers/crb_papers.q083.e1.a1.json | 4,1 KB | af0bf32c3a4f28de4035ec83cb689be8235f491c81fb6404d34f421ab9f18879 |
| sources/crb_papers.q083.gold.json | 1,1 KB | 1f5ead096aadd5786ae9c526800332149491ed59e1131d7fc94d88540a29b94b |
| sources/crb_papers.q083.script.json | 1,1 KB | b48166efb5fbbeaca5a36f08a4d7021de88bdf623459d535001c0ff53dcdd7cd |
| specs/crb_papers.q083.json | 17,5 KB | 277cd05b005b5ee27f6a81b19bbb0c5721199f04be015fbfa0d307bdf0ae6fd3 |
| traces/crb_papers.q083.e1.a1.jsonl | 27,0 KB | 2c71737819e002e368d78fdf34f33ca106e5d8223cf43893490e53a8bc581f0b |
| trajectories/crb_papers.q083.e1.a1.jsonl | 23,0 KB | 9df9522cc2801fdcac08d9bdf2002a01179a043d8629a58fbc628107b0da776a |