DTEF: Predict response distributions for I do not identify with any religious group or faith. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

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

DTEF: Batched predictions (2 Qs/prompt) for Australia. Source: Global Dialogues GD7 (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)

DTEF: Batched predictions (2 Qs/prompt) for 36-45. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

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

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

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

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

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

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

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

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

DTEF: Predict response distributions for Rural. Source: Global Dialogues GD2 (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: Predict response distributions for 56-65. Source: Global Dialogues GD2 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for 46-55. Source: Global Dialogues GD2 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for 26-35. Source: Global Dialogues GD2 (https://github.com/collect-intel/global-dialogues)