{"id":"W4252791260","doi":"10.32920/ryerson.14645319.v1","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; Operating system; Public transport; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001926064,0.0003595567,0.0004829878,0.0001753013,0.00006694513,0.0001957929,0.0002028548,0.0004450303,0.00009959644],"category_scores_gemma":[0.000009320576,0.000372518,0.0001821471,0.0001681449,0.0000122611,0.0004335062,0.0001257513,0.0004618816,0.0001090845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004247273,"about_ca_system_score_gemma":0.00009803448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002090192,"about_ca_topic_score_gemma":0.00001966963,"domain_scores_codex":[0.9984297,0.00003948995,0.0007220939,0.0002150313,0.0002767085,0.0003169717],"domain_scores_gemma":[0.9990956,0.00002359353,0.0001236566,0.0005179014,0.0001442271,0.00009507359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009789378,0.000006149169,0.0001047996,0.005284118,0.0001682281,0.00001220569,0.001722782,0.9742763,0.001271877,0.0002417399,0.0004061624,0.01649587],"study_design_scores_gemma":[0.0004610185,0.000008661131,0.0003581801,0.001362884,0.00004651179,0.00002686588,0.002671714,0.9849064,0.006077112,0.000004244146,0.003433239,0.0006431077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4050915,0.0009421977,0.511057,0.00004020713,0.009863564,0.001253706,0.00008836183,0.002174628,0.06948879],"genre_scores_gemma":[0.9939641,0.00003695199,0.005151052,0.00002878754,0.0002820846,0.00004418059,0.0002354321,0.00005375492,0.0002036832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5888726,"threshold_uncertainty_score":0.9998727,"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."}}