{"id":"W4414015775","doi":"10.11159/mhci25.111","title":"Unveiling Chatbot APP Characters: A Socio-Cultural Analysis of App Representations and User Perceptions","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chatbot; Computer science; Perception; Mobile apps; World Wide Web; Human–computer interaction; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005219614,0.0003634017,0.0002741777,0.002463351,0.001706542,0.003719487,0.0004672982,0.0005386082,0.0006613787],"category_scores_gemma":[0.01270231,0.0002908045,0.0002410969,0.001058552,0.00334311,0.003115466,0.003176418,0.000782731,0.0001431293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009041399,"about_ca_system_score_gemma":0.0006381785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003295298,"about_ca_topic_score_gemma":0.005218252,"domain_scores_codex":[0.9953004,0.003170579,0.0002038868,0.0004065868,0.0007294915,0.0001891316],"domain_scores_gemma":[0.9895914,0.00686715,0.001257823,0.0005915503,0.001266526,0.0004256151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009381084,0.00003473703,0.05021286,0.0001498029,0.00002420495,0.0004006082,0.9247393,0.00008031975,0.004987666,0.001473736,0.0002969812,0.01750605],"study_design_scores_gemma":[0.000005367714,0.0001202864,0.07360633,0.0001520654,0.00003789291,0.0007975654,0.9086781,0.001624533,0.001940795,0.0009949147,0.01198102,0.00006113003],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953384,0.000133698,0.002513168,0.000123812,0.00001167603,0.00003052145,0.00003687598,0.00001208041,0.001799728],"genre_scores_gemma":[0.998481,0.0001059645,0.0009162046,0.00004289059,0.000005705001,0.00002887237,0.00003568773,0.00001645707,0.0003673177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005219614,"threshold_uncertainty_score":0.02760428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007456540000629696,"score_gpt":0.2505492138236354,"score_spread":0.2430926738230057,"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."}}