{"id":"W2569836025","doi":"10.1145/3003715.3005465","title":"Autonomous Driving in the Real World","year":2016,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Autopilot; Automation; Computer science; Self driving; Computer security; Human–computer interaction; Engineering; Transport engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002336495,0.00004676171,0.00005291782,0.00009215276,0.00003703533,0.00001570471,0.0001230589,0.00002401733,0.04720115],"category_scores_gemma":[0.00001592156,0.00002249666,0.00002912892,0.00009178593,0.00002023733,0.00006533725,0.00001013391,0.00006413808,0.004353223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003690436,"about_ca_system_score_gemma":0.000008112144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001986655,"about_ca_topic_score_gemma":0.002726577,"domain_scores_codex":[0.9994336,0.0001145557,0.0001632475,0.0001082208,0.0000613512,0.0001190773],"domain_scores_gemma":[0.9994807,0.0002489286,0.00003261214,0.000207921,0.00001141774,0.00001839267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001897303,0.0001228705,0.06234207,0.000001063633,0.0000176493,0.00001693819,0.007164028,8.21657e-7,0.0002697463,0.7297037,0.119527,0.08081514],"study_design_scores_gemma":[0.0003239192,0.00001218946,0.6886438,0.000008052962,0.000001302373,0.000005453446,0.0006301662,0.00002270585,0.00002178677,0.0006199983,0.3096548,0.00005583378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.112186,0.000001685308,0.0007264821,0.006547755,0.0005168347,0.00006718253,5.504781e-7,0.00009296043,0.8798605],"genre_scores_gemma":[0.8414857,0.000001348751,0.00004008898,0.0009861563,0.00007602771,0.00002133924,4.642537e-7,0.000004026483,0.1573848],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7292997,"threshold_uncertainty_score":0.996422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0327200527865394,"score_gpt":0.3729250700411455,"score_spread":0.3402050172546061,"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."}}