{"id":"W2760223069","doi":"10.1109/tits.2017.2753298","title":"Guest Editorial Introduction to the Special Issue on Internet of Things and Sensors Technologies for Intelligent Transportation Systems","year":2017,"lang":"en","type":"editorial","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Intelligent transportation system; Modernization theory; Key (lock); Internet of Things; Computer science; The Internet; Transport engineering; Engineering; Telecommunications; Computer security; World Wide Web; Political 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":[0.003678318,0.003127736,0.003040971,0.003461183,0.002164413,0.007599271,0.002415871,0.007686524,0.02610182],"category_scores_gemma":[0.01260758,0.0008226454,0.002071472,0.001253052,0.001321575,0.004084757,0.001525078,0.01293545,0.0210727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001463154,"about_ca_system_score_gemma":0.002053488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005766722,"about_ca_topic_score_gemma":0.001989181,"domain_scores_codex":[0.9970347,0.0003614556,0.0003267302,0.0004349217,0.001592604,0.0002496253],"domain_scores_gemma":[0.9869689,0.003054932,0.0009406129,0.0002719811,0.00639374,0.002369762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004026048,0.00001522547,0.00003598272,0.0001796424,0.00001313076,0.0001295402,0.000007676742,0.00002805621,0.0001099015,0.0002281692,0.993462,0.005750336],"study_design_scores_gemma":[0.00005956117,0.0000516188,0.0002750852,0.0002822679,0.00004334717,0.0003712944,0.00003541893,0.00020618,0.0001994694,0.0008904544,0.9975657,0.00001956344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003355211,0.002661672,0.0001348585,0.01370698,0.9820185,0.00001785113,0.00005050988,0.00004657934,0.001329574],"genre_scores_gemma":[0.0003127854,0.002911699,0.00008991438,0.007654704,0.9800428,0.0000164281,0.00005088847,0.00003991236,0.008880776],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02610182,"threshold_uncertainty_score":0.08731931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173904604138056,"score_gpt":0.2578197771910923,"score_spread":0.2404293167772867,"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."}}