{"id":"W4376482050","doi":"10.2139/ssrn.4446940","title":"String Stability of Vehicle Platoon with Packet Loss in Nr-V2x","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Platoon; String (physics); Stability (learning theory); Packet loss; Network packet; Computer science; Computer network; Mathematics; Artificial intelligence","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":[0.0005849355,0.0003818694,0.000592806,0.0005347729,0.0004724642,0.0008137663,0.0005488006,0.0006991729,0.002363201],"category_scores_gemma":[0.002485471,0.0002067759,0.0002689817,0.0003393282,0.0006721335,0.0007956792,0.000940458,0.0005798755,0.000206515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00057794,"about_ca_system_score_gemma":0.0004363414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004326978,"about_ca_topic_score_gemma":0.001126182,"domain_scores_codex":[0.9997966,0.00005473288,0.000006930114,0.00004810893,0.00005233902,0.00004141281],"domain_scores_gemma":[0.9993011,0.000305621,0.0001454503,0.0000349506,0.0001334996,0.00007934924],"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":[0.0004797564,0.00004566459,0.00335361,0.00005430277,0.00003621227,0.0002817184,0.0001215077,0.9400896,0.004262428,0.03922775,0.001339384,0.01070805],"study_design_scores_gemma":[0.000003187781,0.00002149892,0.0002657259,0.000001641549,0.000001433609,0.000008689955,0.000009654056,0.9967813,0.0001167707,0.002738682,0.00004901458,0.000002279138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7342873,0.0003004324,0.2493967,0.0005610751,0.0001033185,0.00004087702,0.0001905628,0.0002516768,0.01486813],"genre_scores_gemma":[0.995188,0.00005378259,0.001377422,0.0000229535,0.00001390163,0.00001287741,0.00006263756,0.00002090229,0.003247359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004326978,"threshold_uncertainty_score":0.008603573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053726368435685,"score_gpt":0.2059733855190833,"score_spread":0.1954361218347264,"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."}}