{"id":"W4232104377","doi":"10.1504/ijehv.2019.102877","title":"A review of autonomous vehicle technology landscape","year":2019,"lang":"en","type":"review","venue":"International Journal of Electric and Hybrid Vehicles","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Automotive industry; Distraction; Field (mathematics); Engineering; Autonomous system (mathematics); Computer science; Transport engineering; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.000329273,0.0002754859,0.001462747,0.000896066,0.00002115914,0.00001367069,0.0007307912,0.0002438859,0.00004010494],"category_scores_gemma":[0.00007842488,0.0002269632,0.0003474615,0.0003372328,0.00006523472,0.0001043269,0.00008089944,0.0007868063,0.00002040409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028037,"about_ca_system_score_gemma":0.0002404662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001012125,"about_ca_topic_score_gemma":1.841571e-7,"domain_scores_codex":[0.9982668,0.00003684075,0.001110268,0.0001588585,0.0002203501,0.000206914],"domain_scores_gemma":[0.9986457,0.00014351,0.0007020045,0.0001890822,0.0002708887,0.0000488298],"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":[0.000005750172,0.00002746666,0.00002481994,0.01216654,0.0006499625,0.00006077476,0.000003813544,0.000007217139,0.00001314686,0.0004542519,0.001937087,0.9846492],"study_design_scores_gemma":[0.0002871446,0.0001478448,0.00001076313,0.03518261,0.0005748587,0.002492313,0.000003594941,0.0004405988,0.0001382993,0.0004289849,0.9600409,0.0002520601],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003954456,0.9982358,0.0001548097,0.0001538776,0.0003631847,0.0001805706,0.00002566334,0.00007560294,0.0004151024],"genre_scores_gemma":[0.003807592,0.9957555,0.0001414933,0.00006443447,0.0001354792,0.000006636849,0.00000952511,0.00003895644,0.00004036776],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9843971,"threshold_uncertainty_score":0.925529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136243310627896,"score_gpt":0.2730713613215522,"score_spread":0.2594470302587626,"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."}}