{"id":"W3093977588","doi":"10.48550/arxiv.2010.11137","title":"Multi-Domain Dialogue State Tracking based on State Graph","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Topic Modeling","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"State (computer science); Computer science; Graph; Domain (mathematical analysis); Tracking (education); Artificial intelligence; Theoretical computer science; Algorithm; Mathematics; Psychology","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":[0.0009912031,0.000987036,0.0007910283,0.00162411,0.0005015325,0.001003649,0.001126278,0.0008623608,0.001701612],"category_scores_gemma":[0.003446464,0.0003831042,0.0009491253,0.001297103,0.0005625788,0.003061526,0.001489807,0.001379557,0.001038384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007396977,"about_ca_system_score_gemma":0.0007757243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007507972,"about_ca_topic_score_gemma":0.007531296,"domain_scores_codex":[0.9986807,0.000338507,0.00005308228,0.000645014,0.0001974152,0.00008534854],"domain_scores_gemma":[0.9983072,0.001018233,0.0001392176,0.0002630598,0.0001955767,0.00007673815],"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":[0.0007623713,0.0002636164,0.005006643,0.0004992515,0.0002027443,0.0004939372,0.001558351,0.1234223,0.03743762,0.02168752,0.008126901,0.8005387],"study_design_scores_gemma":[0.00001549744,0.00006458337,0.001072877,0.00002144506,0.00005286773,0.0001195149,0.0001253125,0.9671178,0.01051153,0.01684755,0.004020956,0.00003006618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03367895,0.0006500492,0.9571346,0.0001726475,0.00008250802,0.00008715422,0.0008334357,0.00566715,0.001693515],"genre_scores_gemma":[0.69025,0.0004158224,0.3009672,0.000171067,0.00006896287,0.000134972,0.003583844,0.0004736882,0.003934471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007507972,"threshold_uncertainty_score":0.01492858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1130155646713314,"score_gpt":0.1982714440905261,"score_spread":0.08525587941919473,"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."}}