{"id":"W4409767076","doi":"10.1145/3706598.3713836","title":"Noel: A Chatbot Persona to Support Children Designing for Others","year":2025,"lang":"en","type":"article","venue":"","topic":"Persona Design and Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Chatbot; Persona; Computer science; World Wide Web; Human–computer interaction; Natural language processing","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":[0.00139664,0.001218056,0.0004537487,0.000558724,0.001171138,0.001456444,0.001992749,0.001737756,0.02499278],"category_scores_gemma":[0.004697135,0.0006466422,0.0005002417,0.0001803295,0.0008341196,0.002525917,0.004329006,0.001312618,0.004880667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004196541,"about_ca_system_score_gemma":0.0009100058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008807762,"about_ca_topic_score_gemma":0.003039804,"domain_scores_codex":[0.9992788,0.0003336158,0.00003925191,0.0001338548,0.0001434745,0.00007101282],"domain_scores_gemma":[0.9971801,0.001358196,0.00009746786,0.0003526725,0.0002607072,0.0007509167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002482833,0.003274868,0.01671217,0.003275026,0.0002240841,0.004810605,0.04650761,0.004563119,0.1603359,0.05331134,0.1544634,0.5500391],"study_design_scores_gemma":[0.0005970332,0.003021974,0.01517678,0.001083799,0.0003554782,0.009197178,0.01492937,0.04801394,0.05425636,0.02893171,0.8239488,0.0004875174],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1575483,0.0007344612,0.7148604,0.001437249,0.0005959775,0.001169834,0.001065071,0.05930802,0.06328063],"genre_scores_gemma":[0.3423227,0.0003805047,0.5329545,0.0007940733,0.0000644672,0.00190727,0.001901664,0.003711022,0.1159637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02499278,"threshold_uncertainty_score":0.08360922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02156295276473513,"score_gpt":0.2906615058271346,"score_spread":0.2690985530623994,"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."}}