{"id":"W133592964","doi":"10.4018/978-1-60566-246-6.ch010","title":"Natural Human-System Interaction Using Intelligent Conversational Agents","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; Naturalness; Natural language; Natural language understanding; Chatbot; Human–computer interaction; Dialog system; Markup language; Context (archaeology); Artificial intelligence; Natural language generation; Natural language processing; World Wide Web; Dialog box; XML","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000155344,0.0004260825,0.0004229063,0.0001442855,0.0001779819,0.0003041026,0.0007767162,0.0003186412,0.00001585931],"category_scores_gemma":[0.00000815572,0.0004304338,0.0002851258,0.00002960955,0.000046078,0.0001956509,0.000211949,0.0003128032,0.0003902995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001422894,"about_ca_system_score_gemma":0.0002041761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002108886,"about_ca_topic_score_gemma":0.00005056555,"domain_scores_codex":[0.9977292,0.00004027793,0.0005758455,0.0006516182,0.0006627101,0.0003403092],"domain_scores_gemma":[0.9985505,0.00002467946,0.0004531069,0.0006010059,0.0002015366,0.0001692234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001373529,0.000006687169,0.000006341728,0.00003327871,0.00007394301,0.00009958381,0.00007646847,0.0000231253,0.00007148378,0.9914745,0.001343171,0.006777645],"study_design_scores_gemma":[0.003606164,0.0009538977,0.0005817601,0.005972913,0.0004359042,0.00409026,0.0002983896,0.05187503,0.002729082,0.6778753,0.2454626,0.006118765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0003400271,0.0002042717,0.01377742,0.00002385004,0.005595136,0.0004529274,0.00003262836,0.0003500465,0.9792237],"genre_scores_gemma":[0.9674278,7.29574e-7,0.002047352,0.0003671497,0.0009908143,0.000005436457,0.00002367873,0.00002591237,0.02911114],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9670877,"threshold_uncertainty_score":0.9998147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0479104510711022,"score_gpt":0.2893521677076872,"score_spread":0.241441716636585,"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."}}