{"id":"W7047139768","doi":"","title":"Few-Shot User Intent Detection and Response Selection for Conversational Dialogue System Using Deep Learning","year":2023,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Focus (optics); Chatbot; Set (abstract data type); Selection (genetic algorithm); Deep learning; Natural language; Natural language understanding","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":[0.001528351,0.001074378,0.000841837,0.001104164,0.0005881251,0.0007440325,0.001098558,0.0009640965,0.002247273],"category_scores_gemma":[0.004017411,0.0003289234,0.0006223295,0.0003964346,0.0003461789,0.001340245,0.001319885,0.001313883,0.001106891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006335558,"about_ca_system_score_gemma":0.0007164942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003669583,"about_ca_topic_score_gemma":0.004995385,"domain_scores_codex":[0.998607,0.0005100309,0.00007156609,0.0004118542,0.000252407,0.0001473012],"domain_scores_gemma":[0.9984725,0.0008872872,0.0001017368,0.0001022901,0.0003102442,0.0001259657],"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":[0.001914809,0.00117204,0.01256371,0.0007192426,0.0002239913,0.0007084731,0.002782104,0.03304697,0.08841494,0.00370903,0.01363585,0.8411089],"study_design_scores_gemma":[0.00002794333,0.0002505152,0.002489248,0.0000269338,0.00005298537,0.0001554627,0.0003875144,0.9735805,0.01766502,0.00294244,0.002386473,0.00003495539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1648139,0.0008301832,0.8208522,0.000694954,0.0001439942,0.0003891641,0.0007515639,0.007921021,0.003602971],"genre_scores_gemma":[0.7895916,0.0001945959,0.2027356,0.0003739701,0.00007561564,0.0003144918,0.001229087,0.0001353353,0.005349852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003669583,"threshold_uncertainty_score":0.008082807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588948740603154,"score_gpt":0.1886396068239361,"score_spread":0.1727501194179045,"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."}}