{"id":"W1979347445","doi":"10.3115/1117736.1117751","title":"Flexible speech act based dialogue management","year":2000,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Norges Forskningsråd","keywords":"Computer science; Speech act; Natural language processing; Artificial intelligence; Linguistics","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":[0.002390381,0.001013191,0.0008482877,0.0008540766,0.0008636095,0.002716256,0.002414511,0.001191532,0.00568138],"category_scores_gemma":[0.00443363,0.000471798,0.0005926275,0.0003781781,0.0009313231,0.002187796,0.002402263,0.001496709,0.003414831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005409188,"about_ca_system_score_gemma":0.0007565586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002010465,"about_ca_topic_score_gemma":0.001764562,"domain_scores_codex":[0.998107,0.0006127071,0.000119864,0.0004610219,0.0005387975,0.0001607397],"domain_scores_gemma":[0.9980963,0.0008665744,0.0001063632,0.0004492711,0.0003260786,0.0001553703],"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":[0.001380495,0.0007195043,0.003258643,0.0004400788,0.0002673673,0.001130388,0.003016772,0.09893534,0.1033985,0.06564564,0.0349334,0.6868739],"study_design_scores_gemma":[0.00006164621,0.0001027408,0.0008808054,0.00003763667,0.00007020387,0.0002163572,0.0001913525,0.8801274,0.04481174,0.0463335,0.02707469,0.0000919341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01591309,0.0002626423,0.9447068,0.0002686029,0.0001093178,0.00024664,0.0003113389,0.03030586,0.007875619],"genre_scores_gemma":[0.6124965,0.0001954579,0.3713343,0.0002900282,0.0001226099,0.0004484467,0.001222895,0.00134158,0.01254825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00568138,"threshold_uncertainty_score":0.01900607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313115954203407,"score_gpt":0.2279978512778446,"score_spread":0.2148666917358105,"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."}}