{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003611292,0.001209452,0.001016359,0.0006764228,0.002415685,0.001322397,0.001548185,0.001843379,0.005158698],"category_scores_gemma":[0.007143133,0.0004646834,0.0004301454,0.001276685,0.001073498,0.0006852709,0.001086597,0.001044073,0.001727441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005421973,"about_ca_system_score_gemma":0.005946205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4879225,"about_ca_topic_score_gemma":0.5726008,"domain_scores_codex":[0.9959505,0.001049462,0.0001902887,0.0004404811,0.001546773,0.0008224476],"domain_scores_gemma":[0.992873,0.002145212,0.0002362085,0.0004767083,0.003421924,0.0008469864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.03191317,0.02254572,0.03684262,0.00314484,0.0007242673,0.00293609,0.01573081,0.04105428,0.05067138,0.002826239,0.07615607,0.7154545],"study_design_scores_gemma":[0.02139039,0.08635379,0.2778722,0.0004559421,0.00189645,0.001722712,0.01554017,0.1276115,0.154883,0.001654152,0.309544,0.001075691],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710734,0.001043482,0.005097178,0.001015584,0.00009929739,0.001527759,0.001960375,0.002869874,0.01531292],"genre_scores_gemma":[0.9642263,0.0006719466,0.01413725,0.0003824182,0.00004490007,0.0005156361,0.002802862,0.0002311147,0.01698751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5120775,"threshold_uncertainty_score":0.970165,"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."}}