{"id":"W4382059190","doi":"10.3390/machines11070676","title":"Autonomous Vehicle Decision-Making and Control in Complex and Unconventional Scenarios—A Review","year":2023,"lang":"en","type":"article","venue":"Machines","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interpretability; Computer science; Benchmarking; Risk analysis (engineering); Control (management); Autonomy; Data science; Transport engineering; Artificial intelligence; Engineering; Business","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":[0.0008645028,0.0009826579,0.001100691,0.001758839,0.0003265232,0.001653542,0.001301304,0.001428183,0.001747144],"category_scores_gemma":[0.001342239,0.0004044822,0.0006252427,0.003077005,0.0006057287,0.001846624,0.0006708876,0.0009548108,0.0009031361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006293356,"about_ca_system_score_gemma":0.001403593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003022759,"about_ca_topic_score_gemma":0.002246644,"domain_scores_codex":[0.999604,0.00008370326,0.00005633603,0.00008150674,0.0001418372,0.00003264362],"domain_scores_gemma":[0.9987372,0.0008453793,0.00009091783,0.00003050112,0.0002578663,0.00003813051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005007773,0.0001251174,0.0006500434,0.01893361,0.0001605633,0.000186316,0.000194698,0.01640932,0.001016495,0.02225285,0.01296304,0.9270579],"study_design_scores_gemma":[0.00001638054,0.0003399536,0.002095196,0.01040191,0.0003039912,0.0008559724,0.0004868384,0.01773454,0.001352447,0.02783577,0.9384667,0.0001103527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007663359,0.98649,0.008805037,0.0003994128,0.0003151882,0.00001700831,0.0000304897,0.0000320682,0.003144462],"genre_scores_gemma":[0.008372462,0.9854595,0.004853687,0.0001351356,0.0004337468,0.00001987313,0.00006246923,0.00000724064,0.0006558395],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003022759,"threshold_uncertainty_score":0.006010354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009187003250769989,"score_gpt":0.2520005281743314,"score_spread":0.2428135249235615,"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."}}