{"id":"W4409178705","doi":"10.1080/23812346.2025.2485740","title":"Designing service blueprint for chatbots: experimental evidence on public preference for design components","year":2025,"lang":"en","type":"article","venue":"Journal of Chinese Governance","topic":"AI in Service Interactions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"National Science and Technology Major Project","keywords":"Blueprint; Preference; Service (business); Computer science; Service design; Human–computer interaction; Engineering; Business; Marketing; Service provider; Economics; Mechanical engineering","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":[0.02269562,0.000518237,0.0004994617,0.0008171998,0.002000138,0.002647991,0.0007292205,0.001022063,0.005315587],"category_scores_gemma":[0.06089837,0.0003715326,0.00046748,0.0006956136,0.002231894,0.00242448,0.001638195,0.001081392,0.0005466444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002245304,"about_ca_system_score_gemma":0.002430595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002065881,"about_ca_topic_score_gemma":0.00322708,"domain_scores_codex":[0.981609,0.01377445,0.0008535689,0.0009826922,0.002020029,0.0007602445],"domain_scores_gemma":[0.9390379,0.04263318,0.006398105,0.005175962,0.004730423,0.00202435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.008657452,0.01812735,0.318477,0.004965335,0.0004589458,0.0007796672,0.1326828,0.004651075,0.05564134,0.04074674,0.004134925,0.4106774],"study_design_scores_gemma":[0.002477487,0.03675634,0.5576808,0.001670297,0.00150589,0.0007943778,0.2139857,0.05383748,0.05166736,0.02981804,0.04930339,0.0005028368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872661,0.00006333487,0.00746264,0.0001376481,0.00001684326,0.0005626036,0.00002764775,0.00003500393,0.004428243],"genre_scores_gemma":[0.9898057,0.00005065257,0.008722741,0.00008295126,0.00000588366,0.0005049725,0.00002870968,0.00001568101,0.0007826956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02269562,"threshold_uncertainty_score":0.1200273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1341938643463574,"score_gpt":0.3504882976506126,"score_spread":0.2162944333042551,"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."}}