{"id":"W4389924147","doi":"10.1109/tmc.2023.3343709","title":"Accuracy-Aware Cooperative Sensing and Computing for Connected Autonomous Vehicles","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Distributed computing; Computer network; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004715893,0.0005290257,0.0004696867,0.0004119341,0.0007039852,0.0007746384,0.001494728,0.0005069743,0.0004744105],"category_scores_gemma":[0.001319081,0.0002481549,0.0003087888,0.0006210802,0.0006449042,0.00129458,0.00129016,0.0005164401,0.000122623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008328762,"about_ca_system_score_gemma":0.0009624565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006439768,"about_ca_topic_score_gemma":0.00873508,"domain_scores_codex":[0.999466,0.00007558753,0.00001730459,0.0001365894,0.0001958988,0.000108698],"domain_scores_gemma":[0.9995284,0.0001494667,0.00006730697,0.00008488971,0.0001263216,0.00004365524],"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":[0.0001931797,0.000121778,0.002222294,0.00007191366,0.00005790694,0.000205714,0.0003156835,0.8656909,0.02553379,0.01313262,0.001456265,0.09099805],"study_design_scores_gemma":[0.00000336861,0.00002951681,0.0002131844,0.000001565211,0.000005341876,0.00001830988,0.00003315785,0.9945286,0.001440473,0.003284657,0.0004376125,0.000004087353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1356262,0.0003364985,0.8599232,0.0002276583,0.0000491586,0.00005136677,0.00003117263,0.0004709449,0.003283749],"genre_scores_gemma":[0.9702589,0.00006189902,0.02889828,0.00003561847,0.00001172178,0.00002437429,0.00002532413,0.00001210874,0.0006718274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006439768,"threshold_uncertainty_score":0.01280457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594654646864877,"score_gpt":0.2828374104328161,"score_spread":0.2568908639641674,"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."}}