{"id":"W2021352277","doi":"10.3115/1627306.1627320","title":"Zero to spoken dialogue system in one quarter","year":2008,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Quarter (Canadian coin); Computational linguistics; Zero (linguistics); Architecture; Linguistics; Spoken language; Open source; Artificial intelligence; Natural language processing; Programming language; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001843589,0.0004553897,0.000708709,0.0004634024,0.0008377937,0.002435216,0.00104677,0.001039612,0.02664446],"category_scores_gemma":[0.003720357,0.0004008306,0.0003760023,0.0002272415,0.0008047893,0.002243186,0.003317874,0.001540689,0.01129273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009767592,"about_ca_system_score_gemma":0.00117073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001688404,"about_ca_topic_score_gemma":0.001228313,"domain_scores_codex":[0.9983217,0.0005879998,0.0001284188,0.0004392946,0.0003399711,0.0001825025],"domain_scores_gemma":[0.9988103,0.000271945,0.00002739591,0.0003430796,0.000351274,0.0001960825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002535789,0.000494414,0.001687754,0.000431131,0.00006481213,0.0008007554,0.004423622,0.00506652,0.04789751,0.1842357,0.1699763,0.5823857],"study_design_scores_gemma":[0.0002976145,0.0007323764,0.001403889,0.0001453799,0.00006105671,0.0008537169,0.001236542,0.08045454,0.05705936,0.08131693,0.7763266,0.0001120368],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09399226,0.002601192,0.6759081,0.004932021,0.005500053,0.0006215439,0.00199046,0.083128,0.1313264],"genre_scores_gemma":[0.5305099,0.0008041377,0.234106,0.002607552,0.0006255993,0.00058604,0.005179211,0.006636193,0.2189454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02664446,"threshold_uncertainty_score":0.08913463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019437902423276,"score_gpt":0.2410642183627724,"score_spread":0.2208698393385396,"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."}}