{"id":"W4236278752","doi":"10.32920/ryerson.14645319","title":"Advanced traveller information system (ATIS) using GPS/GIS","year":2021,"lang":"en","type":"preprint","venue":"","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General Packet Radio Service; Global Positioning System; Automatic vehicle location; Vehicle tracking system; GSM; Transit (satellite); Computer science; Service (business); Tracking system; Truck; Track (disk drive); Assisted GPS; Information system; IVMS; Real-time computing; Telecommunications; Transport engineering; Public transport; Engineering; Operating system; Business","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":[0.000457179,0.0007565342,0.0005677192,0.003278193,0.0004305039,0.001624723,0.000742516,0.0005837471,0.02463882],"category_scores_gemma":[0.001306245,0.0001936488,0.0003944387,0.0042043,0.0001632697,0.001639643,0.001073662,0.0005878606,0.02228382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005327825,"about_ca_system_score_gemma":0.0007453003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00827211,"about_ca_topic_score_gemma":0.003978149,"domain_scores_codex":[0.9993827,0.0001011013,0.00006743176,0.0001319732,0.0002591793,0.00005760284],"domain_scores_gemma":[0.9992362,0.00007738261,0.00008405925,0.0001545797,0.0003828725,0.00006485382],"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":[0.0004463112,0.0001407505,0.01653768,0.0008656392,0.0001463386,0.0004330188,0.0005818009,0.006462242,0.01620354,0.009898986,0.3249075,0.6233763],"study_design_scores_gemma":[0.0001043722,0.0003619188,0.02689269,0.0002234768,0.0002046413,0.0008584365,0.000582023,0.03940208,0.01701306,0.004983171,0.9092343,0.0001398233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06886908,0.004567293,0.2670239,0.002262556,0.001191529,0.001836873,0.1818572,0.1931591,0.2792325],"genre_scores_gemma":[0.5595701,0.005273384,0.146816,0.0009571192,0.000575964,0.001249651,0.1609236,0.001891507,0.1227427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02463882,"threshold_uncertainty_score":0.082425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188200070968797,"score_gpt":0.2095742320889356,"score_spread":0.1976922313792476,"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."}}