{"id":"W4386576775","doi":"10.18653/v1/2023.eacl-srw.12","title":"Automatic Dialog Flow Extraction and Guidance","year":2023,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Programa Operacional Regional do Centro; Atomic Energy of Canada Limited","keywords":"Dialog box; Computer science; Dialog system; Human–computer interaction; Natural language; Service (business); Artificial intelligence; Portuguese; Representation (politics); Order (exchange); Information extraction; World Wide Web; Natural language processing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001487967,0.002222483,0.001151391,0.006642938,0.001314044,0.001984664,0.001161828,0.001335215,0.008012877],"category_scores_gemma":[0.005783873,0.0006103963,0.001077131,0.001998375,0.0004847853,0.002289954,0.001764868,0.001311647,0.004724928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008121515,"about_ca_system_score_gemma":0.002495774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006317656,"about_ca_topic_score_gemma":0.007593717,"domain_scores_codex":[0.9981574,0.0004433173,0.0001487659,0.0007346391,0.0003464515,0.0001693117],"domain_scores_gemma":[0.9971455,0.001513875,0.0002597244,0.0003497071,0.0005976456,0.0001335922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006837475,0.0002497737,0.003906686,0.001091802,0.00005882942,0.0002759269,0.001672104,0.004182861,0.04453884,0.006991148,0.02589767,0.9104505],"study_design_scores_gemma":[0.0002035944,0.0005021141,0.02561421,0.0007225008,0.0002466217,0.001327672,0.004566163,0.5432741,0.1808176,0.05714766,0.1852972,0.0002805681],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04810555,0.001483079,0.8786131,0.0006021833,0.0001947159,0.0008481435,0.008948212,0.05396981,0.007235238],"genre_scores_gemma":[0.2211446,0.0007397598,0.7489702,0.0001333047,0.0001203674,0.0005430294,0.01870615,0.001271142,0.008371421],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008012877,"threshold_uncertainty_score":0.02680582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849230091054341,"score_gpt":0.26011281206639,"score_spread":0.2416205111558466,"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."}}