{"id":"W3094313623","doi":"10.1109/wf-iot48130.2020.9221470","title":"Connected Vehicles: Towards Accident-Free Intersections","year":2020,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Backup; Collision; Collision avoidance; Computer science; Vehicle-to-vehicle; Vehicular communication systems; Computer security; Transport engineering; Computer network; Vehicular ad hoc network; Engineering; Telecommunications; Wireless ad hoc network; Wireless","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002935125,0.0005394565,0.0003339559,0.0008466157,0.0008562041,0.00108616,0.001076504,0.0009089161,0.004546172],"category_scores_gemma":[0.00110235,0.0002056057,0.000262914,0.0008365929,0.0006383063,0.0008657472,0.002301642,0.0006559357,0.001921428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004000272,"about_ca_system_score_gemma":0.0008047946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002084412,"about_ca_topic_score_gemma":0.002048418,"domain_scores_codex":[0.9995871,0.00008692831,0.000009690319,0.00007613934,0.0001743329,0.00006589379],"domain_scores_gemma":[0.9996636,0.00004461052,0.00003668953,0.00004227689,0.000159204,0.00005355407],"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":[0.0004988964,0.0002609083,0.01073617,0.0005621094,0.000104729,0.0008856717,0.001361219,0.2361172,0.03744303,0.3015942,0.01877639,0.3916595],"study_design_scores_gemma":[0.0001396222,0.0007954695,0.003299265,0.0001879668,0.0001082037,0.001229922,0.001483722,0.5783449,0.03407053,0.181805,0.1984455,0.00009000994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1767698,0.001784979,0.7397609,0.001079214,0.0003315022,0.0003051443,0.0002890647,0.003246523,0.07643288],"genre_scores_gemma":[0.8828776,0.001088869,0.102318,0.0002346468,0.00008430889,0.0001659749,0.0005549181,0.0001514618,0.01252423],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004546172,"threshold_uncertainty_score":0.01520842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438445962149515,"score_gpt":0.2018407415954241,"score_spread":0.1874562819739289,"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."}}