{"id":"W2393499371","doi":"","title":"An Excessive Burden of Vehicles Monitoring System Design for City Free Traffic","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Bridge (graph theory); Identification (biology); Field (mathematics); Intelligent transportation system; Embedded system; Management system; Real-time computing; Transport engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006661804,0.0001229086,0.0001904848,0.00005499017,0.00007353432,0.0000149088,0.0003495096,0.00006138062,0.000001100561],"category_scores_gemma":[2.593566e-7,0.00012825,0.00005848102,0.00009456486,0.00001856749,0.00009328274,0.0000145885,0.00005292891,0.000004880209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004203972,"about_ca_system_score_gemma":0.000007064753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000015633,"about_ca_topic_score_gemma":9.176211e-7,"domain_scores_codex":[0.9993252,0.00001629399,0.0002556943,0.000176575,0.00005831641,0.0001678929],"domain_scores_gemma":[0.9993907,0.00005125318,0.00005767488,0.0003589448,0.00008091979,0.00006046645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003121584,0.0001035845,0.0001549996,0.0006001155,0.0001682568,0.000001352373,0.004851726,0.3878035,0.4290375,0.001676353,0.0002776333,0.1752938],"study_design_scores_gemma":[0.0023047,0.0001939494,0.001873705,0.0002358807,0.0001520753,0.00003060021,0.00220485,0.6094123,0.3687498,0.001234224,0.0126991,0.0009088414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07029629,0.0002538977,0.9279746,0.000002450764,0.00004075066,0.000912363,0.00003356232,0.000350456,0.0001356532],"genre_scores_gemma":[0.7899538,0.000002969713,0.2091464,0.000001124395,0.0002920447,0.0005666979,0.000004542304,0.0000247603,0.000007723231],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7196575,"threshold_uncertainty_score":0.5229884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02685918545082614,"score_gpt":0.2325754161043593,"score_spread":0.2057162306535331,"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."}}