{"id":"W4380479489","doi":"10.1145/3585088.3589376","title":"Self-Talk with Superhero Zip: Supporting Children’s Socioemotional Learning with Conversational Agents","year":2023,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Washington; Jacobs Foundation; Canadian Institute for Advanced Research","keywords":"Socioemotional selectivity theory; Context (archaeology); Embodied cognition; Psychology; Dialog system; Recall; Dialog box; Multimedia; Computer science; Developmental psychology; Cognitive psychology; World Wide Web; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002229232,0.0001576844,0.000118885,0.0001379994,0.000373769,0.0001837696,0.0004624935,0.00004789372,0.000784461],"category_scores_gemma":[0.00001855613,0.0001250594,0.0000447185,0.0005596768,0.00004027377,0.0009854696,0.000187182,0.0002688195,0.000615396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009981423,"about_ca_system_score_gemma":0.000171828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001101232,"about_ca_topic_score_gemma":0.00007323043,"domain_scores_codex":[0.9983742,0.00005306553,0.0002056674,0.0004250529,0.0005793755,0.000362614],"domain_scores_gemma":[0.9991914,0.0001591867,0.000120722,0.00024422,0.0001825179,0.0001019277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003373189,0.0003044138,0.9105489,0.00005207412,0.0007011232,0.0001661762,0.0106534,0.01980363,0.0002096917,0.04419076,0.01061671,0.002719384],"study_design_scores_gemma":[0.001355726,0.0003824445,0.586947,0.00005540591,0.00003482098,0.0005439533,0.001941618,0.4019917,0.0006333147,0.0006940652,0.004790272,0.0006296331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8356097,0.0000026448,0.1499591,0.005577127,0.0001994156,0.0002532675,0.000004175822,0.001842398,0.006552108],"genre_scores_gemma":[0.9514704,0.000002499493,0.0453702,0.0005804144,0.00008909696,0.00002624512,0.00007408968,0.00002127206,0.002365798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3821881,"threshold_uncertainty_score":0.8589298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254105158946468,"score_gpt":0.253900293675713,"score_spread":0.2413592420862483,"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."}}