{"id":"W2116168363","doi":"10.1109/ivtta.1998.727683","title":"Automation of locality recognition in ADAS Plus","year":2002,"lang":"en","type":"article","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Directory; Phone; Computer science; Automation; Listing (finance); Service (business); Product (mathematics); Advanced driver assistance systems; Speech recognition; Database; World Wide Web; Operating system; Artificial intelligence; Engineering; Business","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001861078,0.00004413162,0.00008472752,0.0001103575,0.00001407366,0.00001967896,0.0001420193,0.00003677724,0.001388255],"category_scores_gemma":[0.00006470641,0.00004085071,0.00002876112,0.0002911448,0.00001446927,0.0002880556,0.00002443029,0.00003529563,0.000459983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003322938,"about_ca_system_score_gemma":0.000006734529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005133955,"about_ca_topic_score_gemma":0.00004214455,"domain_scores_codex":[0.9994066,0.00005580899,0.0001901198,0.000128555,0.00013532,0.00008357417],"domain_scores_gemma":[0.9996587,0.00006770781,0.00004717547,0.0001509248,0.00004869338,0.0000267765],"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":[0.000001444511,0.00007997939,0.00018429,0.00001035645,0.000002350297,0.000003232539,0.0002164643,0.000005739931,0.0002226981,0.001727928,0.000896085,0.9966494],"study_design_scores_gemma":[0.0005313152,0.00004024914,0.01041976,0.00004450194,0.00000251988,0.00001252353,0.00007031071,0.9400142,0.03872564,0.009487855,0.0004965281,0.0001546314],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1275552,0.00002776774,0.7290358,0.001097948,0.0001508695,0.0001617144,0.000002468884,0.0002025538,0.1417657],"genre_scores_gemma":[0.9268925,0.00001333103,0.07252369,0.0002194631,0.000009336598,0.000006844895,0.000001482024,0.000001817304,0.0003315666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9964948,"threshold_uncertainty_score":0.9995246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06646115400023518,"score_gpt":0.243173563984633,"score_spread":0.1767124099843978,"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."}}