{"id":"W2170935033","doi":"10.1109/ivtta.1994.341553","title":"Directory assistance automation in Bell Canada: trial results","year":2002,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Directory; Vocabulary; Dialog box; Computer science; Automation; World Wide Web; Operator (biology); Natural language processing; Artificial intelligence; Linguistics; Engineering; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002400431,0.00006233938,0.0001003077,0.00005484106,0.00003337656,0.00004409463,0.0002818135,0.00003213672,0.0000195571],"category_scores_gemma":[0.0001172443,0.00005506258,0.00001760451,0.0002878155,0.000006778543,0.0001905919,0.00002845986,0.00004857423,0.00004222417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001784404,"about_ca_system_score_gemma":0.0001264611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2920792,"about_ca_topic_score_gemma":0.7897459,"domain_scores_codex":[0.9990571,0.00006460003,0.0002481306,0.0002157735,0.0002422827,0.0001721717],"domain_scores_gemma":[0.9994714,0.00009119247,0.00005912562,0.0002976654,0.00002282134,0.00005780456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001385531,0.0002996575,0.00144046,0.00002822908,0.00001697544,0.0002057657,0.001326866,0.0002336259,0.0004461094,0.02475468,0.9014047,0.06845743],"study_design_scores_gemma":[0.1052906,0.0004489877,0.1204644,0.0001232275,0.000005630908,0.00002123876,0.00008725701,0.4626413,0.005227774,0.001244686,0.3031076,0.001337345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2058082,0.0007882418,0.03652224,0.005312871,0.009417852,0.001195882,0.00002079655,0.0008157926,0.7401181],"genre_scores_gemma":[0.9933891,0.000003006694,0.00225461,0.0001708632,0.0001180664,0.0000109412,0.000001911669,0.000002505722,0.004049047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7875808,"threshold_uncertainty_score":0.7126349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586527031689597,"score_gpt":0.2159005884131421,"score_spread":0.1900353180962461,"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."}}