{"id":"W3106696364","doi":"10.1155/2020/8895927","title":"Design, Validation, and Comparative Analysis of a Private Bus Location Tracking Information System","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Service (business); TRIPS architecture; Architecture; Tracking system; Automatic vehicle location; Systems design; Public transport; Track (disk drive); Transport engineering; Engineering; Global Positioning System; Operating system; Software 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007912991,0.0004302121,0.000410494,0.001233814,0.0006487685,0.001438187,0.001198011,0.0006380691,0.003083628],"category_scores_gemma":[0.01159084,0.0003568851,0.0005911469,0.0006256913,0.0005396571,0.001691009,0.000826269,0.0004687126,0.0005789519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457816,"about_ca_system_score_gemma":0.002478651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003798367,"about_ca_topic_score_gemma":0.001666307,"domain_scores_codex":[0.993812,0.002525883,0.0005436838,0.000600728,0.002082253,0.0004354925],"domain_scores_gemma":[0.9890369,0.002681982,0.000537059,0.001435269,0.005812287,0.0004965651],"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":[0.005378801,0.005283725,0.07120342,0.0031452,0.0004700054,0.001687759,0.007714807,0.06030664,0.2777585,0.01722012,0.006853326,0.5429777],"study_design_scores_gemma":[0.001130607,0.02233157,0.09563056,0.0004474678,0.000991324,0.001277419,0.004773672,0.4584925,0.3475892,0.001996873,0.06508388,0.000255006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8249512,0.00025734,0.1578734,0.000341733,0.0001281605,0.003890223,0.000502077,0.002352466,0.009703466],"genre_scores_gemma":[0.8484887,0.0001573386,0.144463,0.000100808,0.00002552683,0.001192178,0.0009929831,0.0001715819,0.004407952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007912991,"threshold_uncertainty_score":0.04184842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04019632860057056,"score_gpt":0.297481285657656,"score_spread":0.2572849570570854,"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."}}