{"id":"W2486559400","doi":"10.4018/978-1-60566-108-7.ch023","title":"Channel Management Schemes to Support Services in Ubiquitous Communications Infrastructures for Future Transportation Technologies","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Becton Dickinson (Canada)","funders":"","keywords":"The Internet; Intelligent transportation system; Telecommunications; Cyberspace; Emerging technologies; Engineering; Computer science; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000309346,0.0003316471,0.0002884353,0.0004147182,0.000421074,0.000729445,0.0007609726,0.000459809,0.00391242],"category_scores_gemma":[0.0007246531,0.0001247694,0.0002175345,0.0005548745,0.0004330951,0.0009520294,0.0006691033,0.0006780027,0.0006752071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007452765,"about_ca_system_score_gemma":0.0005690609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928927,"about_ca_topic_score_gemma":0.002046601,"domain_scores_codex":[0.9998028,0.0000497617,0.000007516318,0.00003145034,0.00006343264,0.0000451756],"domain_scores_gemma":[0.9997436,0.00009817567,0.0000246421,0.00004484743,0.00006266296,0.00002594056],"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":[0.0001942732,0.0002780689,0.0006039043,0.0003739564,0.00003871305,0.0002184289,0.0003924068,0.13003,0.04030578,0.133049,0.01815493,0.6763605],"study_design_scores_gemma":[0.00007684303,0.0003508228,0.001134973,0.0001191474,0.000069715,0.0006862357,0.0002662038,0.8397905,0.01795798,0.05140724,0.08806622,0.00007427709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04988763,0.006731539,0.9024941,0.0008514044,0.0006226974,0.0002588774,0.0001129477,0.001892983,0.03714779],"genre_scores_gemma":[0.7552187,0.002941279,0.2214105,0.0002837765,0.0002771914,0.000228157,0.0001432713,0.00008674608,0.01941047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00391242,"threshold_uncertainty_score":0.01308835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059189738819783,"score_gpt":0.2686258963781774,"score_spread":0.2480339989899795,"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."}}