{"id":"W4407673421","doi":"10.58915/amci.v14i1.1149","title":"A Bibliometric analysis for AI-Powered Chatbots","year":2025,"lang":"en","type":"article","venue":"Applied Mathematics and Computational Intelligence (AMCI)","topic":"AI in Service Interactions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0140735,0.0009476091,0.001838428,0.2564037,0.002016231,0.007962503,0.001540445,0.0008907201,0.006406786],"category_scores_gemma":[0.1061467,0.0003733391,0.002376072,0.2989843,0.00122124,0.006293885,0.003063187,0.0007493251,0.001995424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004529849,"about_ca_system_score_gemma":0.006716426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00999561,"about_ca_topic_score_gemma":0.008510389,"domain_scores_codex":[0.9719421,0.00464675,0.00586508,0.002060171,0.01441483,0.001071031],"domain_scores_gemma":[0.8809044,0.06597621,0.02045905,0.00371076,0.02750766,0.00144186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003902127,0.0002508654,0.3505058,0.02894228,0.002580073,0.001284277,0.0104944,0.003620108,0.002258734,0.02172338,0.06670429,0.5112455],"study_design_scores_gemma":[0.00007999692,0.0003311984,0.6428131,0.00950257,0.00262393,0.002361941,0.02144535,0.01060763,0.002986406,0.01333444,0.2935488,0.0003647268],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5483233,0.1209791,0.02559105,0.008258938,0.001359191,0.002657521,0.1475341,0.002189704,0.1431071],"genre_scores_gemma":[0.8811734,0.03533825,0.01890627,0.0004112288,0.0008454662,0.002156558,0.05469508,0.0002921702,0.006181491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7435963,"threshold_uncertainty_score":0.07442868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03397332016220483,"score_gpt":0.3334741513592043,"score_spread":0.2995008311969995,"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."}}