{"id":"W3112256392","doi":"10.1061/9780784483053.083","title":"Improved Model for Forward Collision Warning System Based on DSRC","year":2020,"lang":"en","type":"article","venue":"CICTP 2020","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Dedicated short-range communications; Collision; Computer science; Warning system; Real-time computing; Collision avoidance; Active safety; Global Positioning System; Simulation; Telecommunications; Wireless; Computer security; Engineering; Automotive engineering","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":[0.0002918402,0.001002983,0.0008544563,0.0006167032,0.0006141842,0.000986254,0.001723664,0.001205067,0.003955041],"category_scores_gemma":[0.0005481651,0.0004003062,0.0008371901,0.0004743684,0.000398189,0.001333993,0.0007199741,0.001008859,0.0009519247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017541,"about_ca_system_score_gemma":0.0007849491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01694328,"about_ca_topic_score_gemma":0.005662488,"domain_scores_codex":[0.9995583,0.00006805248,0.00002527541,0.000124872,0.0001575028,0.00006598559],"domain_scores_gemma":[0.9997399,0.0000456501,0.0000346351,0.00001633507,0.0001522239,0.00001121782],"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":[0.00005891871,0.00001829863,0.000737438,0.0001049795,0.00002293084,0.0001532354,0.0001055185,0.976611,0.00392768,0.007395519,0.001145569,0.009718947],"study_design_scores_gemma":[0.000007505533,0.00001891745,0.0001215151,0.0000050606,0.00001072278,0.00002700406,0.000007718656,0.997818,0.0003493334,0.0006907238,0.0009363093,0.000007233312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02944405,0.001106956,0.9445835,0.0005219264,0.0002979769,0.0001360151,0.0004796866,0.001234533,0.02219542],"genre_scores_gemma":[0.9489292,0.00141131,0.02387308,0.0001157783,0.0001107454,0.0003598293,0.0004968664,0.0001203442,0.0245829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01694328,"threshold_uncertainty_score":0.03368932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176642692518691,"score_gpt":0.1989084100927332,"score_spread":0.1871419831675463,"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."}}