{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003848639,0.0003152525,0.0003062312,0.0003446123,0.0002620314,0.0004576769,0.0007706175,0.0003211999,0.000001662713],"category_scores_gemma":[0.00070729,0.0003144021,0.0001416529,0.000129029,0.00002492463,0.0002655166,0.0007967768,0.003783534,0.00004178134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389844,"about_ca_system_score_gemma":0.00271088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002853239,"about_ca_topic_score_gemma":0.0006974757,"domain_scores_codex":[0.9961973,0.0004293373,0.0005844436,0.0007606596,0.0004304967,0.001597767],"domain_scores_gemma":[0.9985719,0.0002046414,0.0002735444,0.0005139647,0.0002971511,0.0001388007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002063811,0.00006042871,0.0000207483,0.00002526215,0.0001899435,0.00008067559,0.00181923,0.7305461,0.001690477,0.004554097,0.00002065031,0.2607861],"study_design_scores_gemma":[0.000289158,0.0001170705,0.000003028493,0.00005492174,0.00002098844,0.0003113482,0.0001229495,0.7506046,0.00004141819,0.2481716,0.00001177495,0.0002511339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3637545,0.0006865372,0.6331368,0.001162266,0.0009278347,0.0001793213,0.00000572333,0.0001419751,0.000004987541],"genre_scores_gemma":[0.9821646,0.00384805,0.01263113,0.00009704768,0.0008797582,0.00002485763,0.0000421386,0.00004205506,0.0002704018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6205057,"threshold_uncertainty_score":0.9999308,"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."}}