{"id":"W4385685557","doi":"10.2139/ssrn.4533669","title":"Multimodal Dialogue Modeling: Simultaneous Intent Recognition and Response Generation","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Speech recognition; Natural language processing; Artificial intelligence","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":[0.001924047,0.001210263,0.001222569,0.0008018547,0.0005037289,0.001772828,0.001391593,0.001499272,0.00569771],"category_scores_gemma":[0.007265161,0.0006630016,0.001185512,0.0006015822,0.0003753847,0.001747041,0.001696771,0.001664923,0.003457839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003799316,"about_ca_system_score_gemma":0.000740902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002366324,"about_ca_topic_score_gemma":0.002394218,"domain_scores_codex":[0.998156,0.0009039262,0.00006732946,0.0004586637,0.000252489,0.0001615288],"domain_scores_gemma":[0.9972728,0.00183728,0.0001289056,0.0003087755,0.0003216476,0.0001306067],"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":[0.001877502,0.0007708666,0.003206561,0.0005649911,0.0002499715,0.0003855309,0.001518329,0.1056585,0.08190019,0.01068508,0.01499178,0.7781907],"study_design_scores_gemma":[0.00002738827,0.0001051991,0.0005267347,0.00001574232,0.00003966993,0.00007596637,0.0001084865,0.9808775,0.0103739,0.006447789,0.001376474,0.00002519214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02419581,0.0002248761,0.9681029,0.0003201307,0.0001066993,0.0001575884,0.0003056439,0.004387721,0.002198591],"genre_scores_gemma":[0.6274189,0.0002494635,0.3625819,0.0002332453,0.0002412896,0.0004439163,0.001353097,0.0008003686,0.006677743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00569771,"threshold_uncertainty_score":0.01906067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07046017678332024,"score_gpt":0.2745890597479063,"score_spread":0.204128882964586,"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."}}