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Tarefa causcibench_real.q150

causcibench_realagentT2publicépoca 1, tentativa 1Execução: 20261015T171142Z-suite-causcibench_real-naive-d6494d

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
-1.322487526 vs -1.501

Família do método (das chamadas de ferramentas): ols (regression)

Pergunta feita ao analista

How much does earmarked funding affect the performance of international organisations?

Resposta

Estimativa ingênua (infer.ols): coef.EMST = -1,322.

Valores esperados e de onde vêm

causcibench_real.gold.q150

Fonte
CauSciBench real split, data/metadata_json/real_input.json at d9bb43a, id 150
Tipo
benchmark_gold
Localização
real_input.json, record id 150: fields effect and std_error
Trecho
id 150 effect -1.501 std_error 0.711
Valor como publicado
-1.501
Erro-padrão como publicado
0.711
Valor
-1,501-1.501 (se 0,7110.711)
Conferido por
arquivo do benchmark · Written by scripts/freeze_causcibench_real.py from the pinned file; equal to the `answer` and `std_error` of the same id in data/metadata_csv/real_input.csv at the pin.
sha256 da cópia lida
c1f4c8930675afff63d816d8ed066941ae92697e7bfc31e9d38519398dd80438 (identifica a cópia lida, não um arquivo canônico)
Endereço
https://raw.githubusercontent.com/causalNLP/CauSciBench/d9bb43a2d90f261978cc5ac0b628c0484f6e8956/data/metadata_json/real_input.json
Licença
CauSciBench repository (MIT for code; metadata as published in the repository)
  • #1 figura da resposta próxima: -1,501-1.501 · relativa 0.05

Verificações

Cada verificação, o que esperava, o que observou e a chamada que leu
#VerificaçãoObrigatóriaResultadoEsperadoObservadoTolerânciaFonteChamada
0resposta com lastro
every number backed
obrigatóriapassou—[]———
1figura da resposta próxima
-1.322487526 vs -1.501
obrigatóriafalhou-1,501-1.501-1,32249-1.3224875262072064relativa 0.05causcibench_real.gold.q150call_a34d180c

Caminho de referência e caminho do agente

A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.

caminho de referência do item · metadata_rule

Referência: infer.iv_2slsChamada do agente: infer.ols (call_a34d180c)diferente
Argumentos da referência e do agente
ArgumentoReferênciaAgente
cluster——não fixado pela referência
controls—[]não fixado pela referência
dataset"reinsberg_does_earmarked""reinsberg_does_earmarked"igual
endog["EMST"]—ausente
exog["newmopan"]—ausente
fe—[]não fixado pela referência
instruments["meanwSIM"]—ausente
intercept—truenão fixado pela referência
level—0,950.95não fixado pela referência
se—"HC1"não fixado pela referência
subset——não fixado pela referência
weights——não fixado pela referência
x—["EMST"]não fixado pela referência
y"y1""y1"igual

Trajetória

Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.

  1. 0Início

    How much does earmarked funding affect the performance of international organisations?

    reinsberg_does_earmarked (agent)

    The dataset compiles performance evaluations of 32 international organizations (IOs) from 2009 to 2021, encompassing 64 assessments conducted by the Multilateral Organization Performance Assessment Network (MOPAN). Organizations vary significantly in their funding composition, with some receiving predominantly core contributions that provide operational flexibility, while others rely heavily on earmarked resources that restrict fund usage to specific purposes, sectors, or geographic areas. Due to their specific nature, earmarked funding does not offer flexibility. Thus, there is a possibility that earmarked funding may limit organizational performance. The dataset tracks both short-term and long-term earmarked funding patterns alongside core funding levels. International organizations' performance is given by two metrics: 1) Process performance, the extent to which organizations have rules to plan and manage operations strategically, and 2) outcome performance, which measures the organization's success in achieving desired results. Variables: organization: international organization name acronym: organization abbreviation year: assessment year mopan: The version of MOPAN methodology used in the assessment (one of 3.0, 3.1, or 3.0*, CA = older version) newmopan: Binary variable that is 1 if the new MOPAN assessment methodology was used y1: process performance factor score y2: outcome performance factor score y1n: process performance factor score after removing 2 micro indicators y2n: outcome performance factor score after removing 2 micro indicators EMST: earmarked funding share in the year before MOPAN assessment (t-1 year) EMLT: earmarked funding share in the years t-2 and t-3 before MOPAN assessment, i.e., 2 and 3 years before un: indicator for UN system organizations (1 = UN organization, 0 = non-UN organization) coreSTd: non-core funding amount coreST: core funding amount emST: earmarked funding amount emST_MBI: earmarked funding amount computed by MOPAN emshareLTd: Share of earmarked funding in the IO budget based on data from UN DESA Data emshareLTb: Share of earmarked funding in the IO budget based on data from UN Data Cube emshareLT: Share of earmarked funding share for long-term projects nproj_lt: number of earmarked projects ndon_lt: number of donors providing earmarked funding states_num: number of member states states_unga_sd: standard deviation of the preferences of the member states with respect to ideal point estimates tenure: executive head tenure length selectorate: Variable indicating how the executive is selected (1 = appointed by the chief of parent organization, 2 = selected by the board, 3 = chosen by the assembly of member states) founding: organization founding year hq: headquarters location field_presence: number of staff in the field staff_count: total staff size normio: indicator for norm-making IOs: FAO, ILO, UNESCO, UNHCR, UNIDO, WHO, GEF lnsectors: logarithm of the number of sectors in which the organization receives donor funding meanwSIM: weighted mean cosine similarity of sector-specific contribution profile, which is proportional to the total budget of the IOs

    file c6e6f76a45840b38e6b9ab7ca8618731926c8df7c3c57d54ce2a34d8d362f330 · frame —
  2. 1Turno do modelo
    call_963bc90fnaive-olsFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
    Texto visível

    Linha de base ingênua: regressão do resultado no tratamento, sem controles.

    Chamadas pedidas
    • infer.ols
      {
        "dataset": "reinsberg_does_earmarked",
        "x": [
          "EMST"
        ],
        "y": "y1"
      }
  3. 2Ferramenta
    infer.olsv0.1.0call_a34d180cdecidido pelo modeloreexecutável

    Motivo: Linha de base ingênua: regressão do resultado no tratamento, sem controles.

    Argumentos
    {
      "cluster": null,
      "controls": [],
      "dataset": "reinsberg_does_earmarked",
      "fe": [],
      "intercept": true,
      "level": 0.95,
      "se": "HC1",
      "subset": null,
      "weights": null,
      "x": [
        "EMST"
      ],
      "y": "y1"
    }
    Figuras call_a34d180c
    ChaveValorValor brutoErro-padrãoIC
    coef.EMST
    Coefficient on EMST in the regression of y1
    -1,32249 -1.32248752620720640,4315290.4315288732094373-2,19218 – -0,452798
    Diagnósticos
    • n_obs = 4646
    • k = 22
    • r2 = 0,170680.17067979917286935
    • df_resid = 4444
    • se_type = "HC1"
    • n_clusters = —
    Tabelas (1)
    {
      "coefficients": [
        {
          "ci_high": 1.1382973679574897,
          "ci_low": 0.12078452513476345,
          "coef": 0.6295409465461266,
          "p": 0.01646826990044473,
          "se": 0.25243852677930406,
          "t": 2.4938386171794873,
          "term": "Intercept"
        },
        {
          "ci_high": -0.4527982277046524,
          "ci_low": -2.1921768247097604,
          "coef": -1.3224875262072064,
          "p": 0.0037148138380276273,
          "se": 0.4315288732094373,
          "t": -3.0646559438106316,
          "term": "EMST"
        }
      ]
    }
    • 18 rows were dropped because one of 'y1', 'EMST' was missing
    Digests dos dados
    reinsberg_does_earmarked 5e2cf774bc4e473b2623db2b5c2e832456bd6da928a073ef89f69de82001d0be
    sha256 do resultado
    ff05ed7de03c2d3388395eb0267dbe801780a59362d96912457ea62c79f8200a
  4. 3Turno do modelo
    call_47e7eae9naive-olsFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
    Chamadas pedidas
    • submit_answer (meta-ferramenta)
      {
        "answer": "Estimativa ingênua (infer.ols): coef.EMST = -1,322.",
        "caveats": [],
        "figure_refs": [
          "call_a34d180c:coef.EMST"
        ]
      }
  5. 4Guarda
    resposta aceita
    Números encontrados
    -1,322
    Sem lastro
    —
    Não citados
    —
    1 nova(s) tentativa(s) restante(s)
  6. 5Resposta

    Estimativa ingênua (infer.ols): coef.EMST = -1,322.

    Figuras citadas: call_a34d180c:coef.EMST · Parada: answered
    Figura da resposta: call_a34d180c:coef.EMST = -1,32249-1.3224875262072064 (se 0,4315290.4315288732094373)
  7. 6Pontuação
    #0resposta com lastropassouobrigatóriaevery number backed
  8. 7Pontuação
    #1figura da resposta próximafalhouobrigatória-1.322487526 vs -1.501

Épocas × verificações

Resultado de cada verificação em cada época pontuada
#01
Época 1passoufalhou

Tentativas

Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.

Downloads desta tarefa

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