{"id":"W2543547411","doi":"10.1109/itst.2009.5399342","title":"Rapid prototyping Vehicle-to-Infrastructure applications using the Android<sup>TM</sup> development platform","year":2009,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"AUTO21 Network of Centres of Excellence; University of British Columbia","keywords":"Telematics; Computer science; Embedded system; Android (operating system); Automotive industry; Software; Engineering; Systems engineering; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000640969,0.0001773938,0.0001912707,0.0001598503,0.001727483,0.0001198493,0.001126555,0.0002362952,0.0005499331],"category_scores_gemma":[0.0001174506,0.0001355106,0.0000570399,0.0008065014,0.0002496855,0.0001856622,0.0001626716,0.0003094237,0.0001108648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002261559,"about_ca_system_score_gemma":0.0003691037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007259255,"about_ca_topic_score_gemma":0.000486451,"domain_scores_codex":[0.9983891,0.00008465577,0.0003713194,0.0003059176,0.0003790248,0.0004699811],"domain_scores_gemma":[0.9987412,0.0001303605,0.0001232211,0.0006863662,0.0001528979,0.0001659738],"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":[0.0000184254,0.00009405047,0.0005183157,0.000007319515,0.00003246738,8.525685e-7,0.01669441,0.0001318463,0.002634964,0.1198409,0.001384028,0.8586424],"study_design_scores_gemma":[0.0002990479,0.00002545408,0.004022677,0.00001902389,0.00001101233,0.000004248373,0.002684193,0.004701112,0.001202545,0.004302742,0.9824642,0.0002637485],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5993277,0.0016933,0.05977897,0.05737987,0.000319327,0.0168958,0.00001528316,0.002655726,0.2619341],"genre_scores_gemma":[0.9363276,0.0001677657,0.06048794,0.001786552,0.0001460824,0.0004127739,0.00001280379,0.00001628669,0.0006422198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9810802,"threshold_uncertainty_score":0.9995722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0363668052845311,"score_gpt":0.3144939438652687,"score_spread":0.2781271385807376,"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."}}