DTEF [indiv]: Predict individual answers for More concerned than excited (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Islam. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Hinduism. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Christianity. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Philippines. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Indonesia. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Egypt. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Urban. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Suburban. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Canada. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for More excited than concerned. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for More concerned than excited. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for 65+. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for 56-65. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for 46-55. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for 26-35. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for 18-25. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for 18-25. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Buddhism. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for United Kingdom. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Brazil. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for 18-25. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Italy. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Israel. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Buddhism. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Suburban. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Suburban. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Rural. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Vietnam. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Spain. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Slovakia. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Mexico. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for Israel. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Indonesia. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Bangladesh. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for More concerned than excited. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for 18-25. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Urban. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Suburban. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Other religious group. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Suburban. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Egypt. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Poland. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Kazakhstan. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Batched predictions (2 Qs/prompt) for United Kingdom. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Equally concerned and excited. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for 26-35. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Other religious group. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Judaism. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Suburban. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Turkey. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Mexico. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Indonesia. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Egypt. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Australia. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for 36-45. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for 26-35. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Israel. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for South Africa (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for 26-35. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Slovakia. Source: Global Dialogues GD5 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for France. Source: Global Dialogues GD5 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for More excited than concerned. Source: Global Dialogues GD5 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Christianity. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Kenya. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Equally concerned and excited. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Other religious group. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Islam. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Hinduism. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Canada. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)