Tarefa causcibench_real.q107

Veredito

Pergunta feita ao analista

Does the distance to nuclear facilities influence the difference in a person's support for nuclear or wind energy?

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1. 0Início

   Does the distance to nuclear facilities influence the difference in a person's support for nuclear or wind energy?

   uji_comparing_public (agent)

   This data comes from a survey administered in the state of Washington. Adults 18 years and older were first asked to read about the challenges to addressing the rising demands of energy while meeting decarbonization goals. To begin with, the participants were asked to answer attention-check questions. These were multiple-choice questions. Then, the participants were asked to indicate their degree of support for nuclear and wind energy sources. Additionally, participants were asked questions about factors that explain their preference for wind or nuclear energy sources. Dataset Variables: Outcome: The difference in support level between nuclear and wind (nuclear support % minus wind support %) Nuclear: Level of nuclear support (0-100%) Wind: Level of wind support (0-100%) Dist_nuclear: Distance in miles from respondent's county to the Richland nuclear power plant Dist_wind: Distance in miles from respondent's county to the closest wind facility Region: Geographic region (Eastern or Western Washington) Urban_rural: Binary variable indicating whether respondents live in urban (county population >10,000) or rural areas; 1 = urban, 0 = rural Health: Importance attached to health effects of electricity generation and waste disposal (scale 1-4, where 1=""not important at all"", 4=""very important"") Job: Importance attached to local jobs and economic benefits (scale 1-4, where 1=""not important at all"", 4=""very important"") Landscape: Importance attached to disruption of the rural landscape (scale 1-4, where 1=""not important at all"", 4=""very important"") Supply: Importance attached to reliability of electricity supply (scale 1-4, where 1=""not important at all"", 4=""very important"") Trust_reg: Trust in the federal Nuclear Regulatory Commission (1 = no trust at all, 4 = trust very strongly) Trust_health: Trust in Washington State Department of Health (1 = no trust at all, 4 = trust very strongly) Trust_plant: Trust in nuclear plant operators (1 = no trust at all, 4 = trust very strongly) Env: Environmental attitude - priority given to environmental protection (1) vs. economic growth (2) Gender: Respondent gender Age: Age categories by birth year (1946-1964, 1965-1996, After 1996) Income: Income categories ($40,000-$69,999, $70,000-$104,999, $105,000-$159,999, $160,000+) Education: Education level (High school incomplete, High school, College no degree, 4 yrs college, Graduate school) Race: Racial/ethnic identification Religion: Religious affiliation PID: Party identification (Democrat, Independent, Republican) AC1: Attention check question 1 answer AC2: Attention check question 2 answer AC3: Attention check question 3 answer AC: Overall attention check performance

   file 0e30ede65f1813f395da3b4d7651a61c9175218a40234d89387f16625a25b596 · frame —
2. 1Turno do modelo
   call_f57c2628naive-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": "uji_comparing_public",
       "x": [
         "Dist_nuclear"
       ],
       "y": "Outcome"
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
3. 2Ferramenta
   infer.olsv0.1.0call_6437f502decidido pelo modeloreexecutável

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

   Argumentos

   {
     "cluster": null,
     "controls": [],
     "dataset": "uji_comparing_public",
     "fe": [],
     "intercept": true,
     "level": 0.95,
     "se": "HC1",
     "subset": null,
     "weights": null,
     "x": [
       "Dist_nuclear"
     ],
     "y": "Outcome"
   }

   Figuras call_6437f502

   Chave	Valor	Valor bruto	Erro-padrão	IC
   coef.Dist_nuclear Coefficient on Dist_nuclear in the regression of Outcome	-0,0602735	-0.060273454093867265	0,04056740.04056741484797001	-0,139895 – 0,0193482

   Diagnósticos

   • n_obs = 870870
   • k = 22
   • r2 = 0,002477580.002477584945804301
   • df_resid = 868868
   • se_type = "HC1"
   • n_clusters = —

   Tabelas (1)

   {
     "coefficients": [
       {
         "ci_high": 6.311796463058941,
         "ci_low": -18.116709615368745,
         "coef": -5.9024565761549015,
         "p": 0.3431582431671008,
         "se": 6.2231865654125125,
         "t": -0.9484620964056939,
         "term": "Intercept"
       },
       {
         "ci_high": 0.019348242104954866,
         "ci_low": -0.1398951502926894,
         "coef": -0.060273454093867265,
         "p": 0.13770563268569697,
         "se": 0.04056741484797001,
         "t": -1.4857602911042616,
         "term": "Dist_nuclear"
       }
     ]
   }

   Digests dos dados

   uji_comparing_public bcea4f34f4719da0943bfd1db0ae04e6210d486951f4b49d95bc61c4fa86087d

   sha256 do resultado

   74876caced4ba5911c1ec24ed09f024a1cb5cfd7b70a271da65017fc206afbc8

   Resultado mostrado ao modelo
4. 3Turno do modelo
   call_9a368c3anaive-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.Dist_nuclear = -0,06027.",
       "caveats": [],
       "figure_refs": [
         "call_6437f502:coef.Dist_nuclear"
       ]
     }

   Mensagens (formato neutro)Instruções do sistemaFerramentas oferecidas
5. 4Guarda
   resposta aceita

   Números encontrados

   -0,06027

   Sem lastro

   —

   Não citados

   —

   1 nova(s) tentativa(s) restante(s)
6. 5Resposta

   Estimativa ingênua (infer.ols): coef.Dist_nuclear = -0,06027.

   Figuras citadas: call_6437f502:coef.Dist_nuclear · Parada: answered

   Figura da resposta: call_6437f502:coef.Dist_nuclear = -0,0602735-0.060273454093867265 (se 0,04056740.04056741484797001)
7. 6Pontuação
   #0resposta com lastropassouobrigatóriaevery number backed
8. 7Pontuação
   #1figura da resposta próximafalhouobrigatória-0.06027345409 vs -0.029

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• época 1, tentativa 1falhoupontuada(exibindo)

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