{"id":"W3176102671","doi":"10.1145/3459990.3460710","title":"Social bots of conviction as dialogue facilitators for history education: Promoting historical empathy in teens through dialogue","year":2021,"lang":"en","type":"article","venue":"Interaction Design and Children","topic":"AI in Service Interactions","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Empathy; Conviction; Constructive; Perspective (graphical); Reflection (computer programming); Perspective-taking; Psychology; Foregrounding; Focus (optics); Social psychology; Computer science; Political science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005590877,0.0005949308,0.0002964083,0.0007964054,0.00243592,0.002077257,0.0009774966,0.001191756,0.003298764],"category_scores_gemma":[0.01276747,0.000359668,0.0002998224,0.0003111309,0.003038062,0.002470056,0.004187408,0.001143361,0.0005439786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007944499,"about_ca_system_score_gemma":0.00130607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007068895,"about_ca_topic_score_gemma":0.001708337,"domain_scores_codex":[0.9950191,0.004047378,0.00009167977,0.0002422832,0.0003266987,0.0002729287],"domain_scores_gemma":[0.9874557,0.009101744,0.0009572285,0.0007196162,0.0004316038,0.001334007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001080511,0.002649281,0.04642477,0.001633426,0.0001112882,0.002515695,0.5533714,0.002113816,0.04936379,0.03386289,0.007563693,0.2993094],"study_design_scores_gemma":[0.000827597,0.009225889,0.0562105,0.001963737,0.0004517884,0.006084486,0.4363312,0.04338359,0.04272298,0.04616419,0.3562622,0.0003717733],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9169629,0.0003502993,0.05576563,0.00156136,0.00009886857,0.0005264017,0.00004107933,0.0008246292,0.02386888],"genre_scores_gemma":[0.964724,0.0001060544,0.03138686,0.0002633657,0.00001431932,0.0004083293,0.00002565143,0.00007442518,0.002996936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005590877,"threshold_uncertainty_score":0.02956772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03613176211689553,"score_gpt":0.2952925783917284,"score_spread":0.2591608162748329,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}