{"id":"W7149296754","doi":"10.71465/ajainn672","title":"AI-Powered Personal Assistants: The Future of Customer Interaction","year":2025,"lang":"","type":"article","venue":"American Journal of Artificial Intelligence and Neural Networks","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Customer intelligence; Customer advocacy; Customer to customer; Voice of the customer; Customer retention; Customer relationship management; Natural (archaeology); Customer needs","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":[0.002220798,0.0003834919,0.000267917,0.0005438604,0.001389932,0.006282524,0.001371244,0.003359133,0.009165416],"category_scores_gemma":[0.004163274,0.0001970384,0.000263088,0.0006443813,0.002676997,0.009868704,0.00274807,0.002738806,0.003576878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008599652,"about_ca_system_score_gemma":0.001430758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007717119,"about_ca_topic_score_gemma":0.0007784728,"domain_scores_codex":[0.9983051,0.0007531574,0.00005309243,0.0001525206,0.0005875069,0.0001485684],"domain_scores_gemma":[0.9963679,0.00176235,0.0001862289,0.0002746168,0.000823854,0.0005850095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001832663,0.0001475897,0.001961381,0.0007767421,0.00004097359,0.0004161613,0.004539496,0.00168699,0.004277959,0.3157818,0.05922494,0.6109626],"study_design_scores_gemma":[0.00001837559,0.0002071327,0.00130944,0.0006982458,0.00002145726,0.001137215,0.004391457,0.01045516,0.001794769,0.2364766,0.7434129,0.00007727343],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04386215,0.1246818,0.228814,0.1583407,0.004464605,0.0001659726,0.0002375533,0.00189728,0.4375359],"genre_scores_gemma":[0.6699765,0.09701388,0.1121543,0.02238503,0.004263299,0.0002634656,0.0002568573,0.0003521594,0.0933344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009165416,"threshold_uncertainty_score":0.03066134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121124867059681,"score_gpt":0.3142265458859868,"score_spread":0.2930152972153899,"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."}}