{"id":"W4403091139","doi":"10.36676/urr.v8.i4.1401","title":"Conversational AI: Transforming Human-Machine Interaction through Deep Learning","year":2021,"lang":"en","type":"article","venue":"Universal Research Reports","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Artificial intelligence; Deep learning; Cognitive science; Human–computer interaction; Psychology; Communication","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":[0.002046436,0.0005981358,0.0003073282,0.0004488824,0.0005872586,0.001696486,0.001341271,0.001066288,0.003051161],"category_scores_gemma":[0.006217991,0.000348326,0.0004567923,0.0003468542,0.001387143,0.002287161,0.002866473,0.00224781,0.0007441215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009534178,"about_ca_system_score_gemma":0.001025233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004415864,"about_ca_topic_score_gemma":0.005127033,"domain_scores_codex":[0.9987726,0.0006943272,0.00004371081,0.0002049567,0.0001800384,0.000104384],"domain_scores_gemma":[0.9978915,0.001524801,0.0001221282,0.0002098404,0.0001525191,0.0000992332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003002619,0.0004882993,0.004325205,0.000524466,0.0002038847,0.0003754672,0.004535939,0.2873368,0.03360735,0.107817,0.01005847,0.5504268],"study_design_scores_gemma":[0.00001002436,0.00005540333,0.0003861663,0.0000480067,0.00001792997,0.00005253096,0.0002449634,0.9168644,0.004755905,0.06971187,0.007830353,0.0000223621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02225797,0.0006780062,0.9651299,0.001546979,0.0001221496,0.0001139033,0.0001062919,0.00154126,0.008503561],"genre_scores_gemma":[0.7142131,0.0006964621,0.2779206,0.0007487448,0.00009430255,0.0002463467,0.0002233028,0.0001997772,0.005657363],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004415864,"threshold_uncertainty_score":0.01082271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06338292119524713,"score_gpt":0.3660860208590874,"score_spread":0.3027030996638402,"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."}}