{"id":"W4411600375","doi":"10.1109/ickecs65700.2025.11036040","title":"Smart AI Chatbots for Tailored Nutrition and Fitness Guidance","year":2025,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Artificial intelligence; Human–computer interaction","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":[0.0009209118,0.001238409,0.0004817574,0.0007096197,0.000654505,0.0009115261,0.00143106,0.001232667,0.02394841],"category_scores_gemma":[0.003646385,0.0003254346,0.0003703836,0.0002855879,0.0003467023,0.00118128,0.00179506,0.0007694906,0.00715872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909706,"about_ca_system_score_gemma":0.0003710522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007604474,"about_ca_topic_score_gemma":0.001059317,"domain_scores_codex":[0.9994805,0.0001887296,0.0000317436,0.0001175773,0.0001114769,0.00007001934],"domain_scores_gemma":[0.9974998,0.00152549,0.0001251559,0.0001859314,0.000223894,0.0004396442],"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":[0.005826,0.003253491,0.0106677,0.002871508,0.000222608,0.005293285,0.01215722,0.008144015,0.1680393,0.01219165,0.1344278,0.6369055],"study_design_scores_gemma":[0.00109604,0.004969418,0.04094065,0.0009264397,0.000408475,0.004618287,0.004498793,0.3440188,0.08001462,0.02355932,0.4943607,0.0005884532],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2824758,0.001943366,0.536201,0.001887782,0.001353277,0.002181861,0.001874321,0.1170671,0.05501551],"genre_scores_gemma":[0.671963,0.0005708278,0.2304336,0.001735595,0.0004622987,0.001836769,0.001989795,0.001952696,0.08905544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02394841,"threshold_uncertainty_score":0.08011538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380021047614868,"score_gpt":0.3019502875329776,"score_spread":0.2881500770568289,"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."}}