{"id":"W4403601781","doi":"10.3390/drones8100600","title":"Latency Analysis of Drone-Assisted C-V2X Communications for Basic Safety and Co-Operative Perception Messages","year":2024,"lang":"en","type":"article","venue":"Drones","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Drone; Latency (audio); Perception; Computer science; Psychology; Telecommunications; Neuroscience; Biology","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":[0.001217902,0.000630683,0.0003725556,0.0009329849,0.0005386259,0.0008119715,0.0007311671,0.0004285756,0.001775839],"category_scores_gemma":[0.004498295,0.0002207038,0.0002970975,0.0007351839,0.0004157717,0.001021971,0.0006164423,0.0005694694,0.0001901419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002234893,"about_ca_system_score_gemma":0.001964292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01362274,"about_ca_topic_score_gemma":0.007371423,"domain_scores_codex":[0.9988788,0.0001663408,0.00004491474,0.0001355612,0.0003911152,0.0003833188],"domain_scores_gemma":[0.995984,0.002417384,0.0004500244,0.0001775729,0.0008104124,0.0001606973],"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":[0.0006100951,0.0001486882,0.01060052,0.0001449843,0.0000557034,0.0002903793,0.0002328373,0.9417892,0.01825666,0.01030291,0.001000167,0.0165677],"study_design_scores_gemma":[0.000006286041,0.0001360816,0.001700148,0.000008851053,0.00001397887,0.00006348392,0.0001096384,0.9940094,0.003070974,0.0006206476,0.0002474451,0.00001306291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9182967,0.001836721,0.07107564,0.0003565896,0.00008958854,0.00009869374,0.000360316,0.0003987091,0.007487045],"genre_scores_gemma":[0.9978603,0.0001638501,0.001441009,0.00001766071,0.000006047754,0.00001764801,0.00006898409,0.00001340947,0.000411064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01362274,"threshold_uncertainty_score":0.02708685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616415937359807,"score_gpt":0.295632557659684,"score_spread":0.279468398286086,"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."}}