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

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

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

DTEF: Predict response distributions for More excited than concerned. Source: Global Dialogues GD2 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 36-45 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for I do not identify with any religious group or faith (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

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

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

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

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

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

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

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

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

DTEF [indiv]: Predict individual answers for 26-35 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 18-25 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

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

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

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

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

DTEF: Predict response distributions for South Africa. Source: Global Dialogues GD1 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Kenya. Source: Global Dialogues GD1 (https://github.com/collect-intel/global-dialogues)

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

DTEF: Predict response distributions for Kenya. Source: Global Dialogues GD2 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for India. Source: Global Dialogues GD2 (https://github.com/collect-intel/global-dialogues)

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