{"id":"W4388666767","doi":"10.1109/dsa59317.2023.00089","title":"Prediction of Autonomous Vehicle Trajectories in Turnaround Scenarios","year":2023,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Trajectory; Workload; Context (archaeology); Smoothing; Artificial neural network; Graph; Simple (philosophy); Real-time computing; Artificial intelligence; Distributed computing; Theoretical computer science","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":[0.0002240758,0.0005873809,0.0003178613,0.0004295906,0.0002969577,0.0003993591,0.0005875609,0.0005488021,0.0007597025],"category_scores_gemma":[0.00105735,0.00023606,0.0002353238,0.0003212953,0.0003496024,0.000733555,0.0005044648,0.0005820023,0.0001966057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006685596,"about_ca_system_score_gemma":0.0006655742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03527535,"about_ca_topic_score_gemma":0.03136334,"domain_scores_codex":[0.9998883,0.00002015943,0.000003766875,0.00003626746,0.0000179723,0.00003338835],"domain_scores_gemma":[0.999686,0.0001067349,0.0000478281,0.00002170363,0.00007300812,0.00006472591],"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":[0.0000722427,0.00001246133,0.004378166,0.000007899687,0.000009118517,0.0001134179,0.00002441692,0.9893072,0.0004868811,0.0006926122,0.0003930262,0.004502562],"study_design_scores_gemma":[0.000001113518,0.000006572129,0.0006212933,9.077424e-7,0.000001280218,0.000005977039,0.0000177426,0.9986055,0.0001476985,0.0005044673,0.00008571472,0.000001666338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8342797,0.0002543954,0.1608212,0.0003884204,0.00007731278,0.00003288711,0.0007414538,0.0006428453,0.002761821],"genre_scores_gemma":[0.9960889,0.00004680985,0.003038363,0.000006885339,0.000003617711,0.00000620314,0.0002593215,0.000009932234,0.000539996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03527535,"threshold_uncertainty_score":0.07014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543296271731518,"score_gpt":0.2063491340791443,"score_spread":0.1909161713618292,"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."}}