{"id":"W3091927272","doi":"10.1109/iemtronics51293.2020.9216400","title":"Autonomous Mobility Vehicle","year":2020,"lang":"en","type":"article","venue":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Interfacing; Computer science; Installation; Image processing; Embedded system; Object detection; IVMS; Automotive engineering; Real-time computing; Artificial intelligence; Engineering; Computer hardware; Vehicle tracking system; Image (mathematics); Kalman filter","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":[0.0001240651,0.0005029776,0.000244695,0.0004966765,0.0005731672,0.0005712125,0.0008523847,0.0007488047,0.01014571],"category_scores_gemma":[0.0002595566,0.0001384209,0.0002964731,0.0002475822,0.0002534111,0.0009623208,0.0009779745,0.0003965977,0.006517601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004307757,"about_ca_system_score_gemma":0.000551724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002753861,"about_ca_topic_score_gemma":0.002538811,"domain_scores_codex":[0.999796,0.00001887829,0.000006126822,0.00004502828,0.00009868105,0.00003541163],"domain_scores_gemma":[0.9998945,0.000009764164,0.000009423441,0.0000158923,0.00005447209,0.00001597192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003406976,0.0001391798,0.004474354,0.0005887047,0.00005551726,0.001315196,0.0005288758,0.0235335,0.05627904,0.07729945,0.09741631,0.7380292],"study_design_scores_gemma":[0.00004482244,0.0003866669,0.001936372,0.00007747585,0.00002898691,0.001264938,0.0002468558,0.03790963,0.01798075,0.007776473,0.9322941,0.00005287195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0702089,0.005528249,0.5399251,0.002041438,0.002141079,0.000708718,0.001886896,0.01178672,0.3657729],"genre_scores_gemma":[0.5611239,0.003009452,0.1019651,0.0008557104,0.0002987956,0.0005114933,0.003777276,0.0002747096,0.3281836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01014571,"threshold_uncertainty_score":0.03394073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462546772435514,"score_gpt":0.2245360565727387,"score_spread":0.2099105888483836,"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."}}