{"id":"W2136171888","doi":"10.1109/ntms.2009.5384685","title":"WSN Architectures for Intelligent Transportation Systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Wireless sensor network; Intelligent transportation system; Computer network; Wireless; Transceiver; Architecture; Software; Field (mathematics); Embedded system; Telecommunications; Engineering; 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":[0.0004545444,0.0005389589,0.0003288231,0.0003908022,0.0003339228,0.001172267,0.0008891738,0.0007494403,0.006041486],"category_scores_gemma":[0.0008684104,0.0002517742,0.0002478255,0.0006354377,0.000361513,0.001759656,0.0007455489,0.0007973348,0.002169878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004799288,"about_ca_system_score_gemma":0.0005511777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006166365,"about_ca_topic_score_gemma":0.001168246,"domain_scores_codex":[0.9997754,0.00006376224,0.00002047581,0.0000363978,0.00008766798,0.00001625697],"domain_scores_gemma":[0.9998083,0.00004932944,0.00001891437,0.00003190804,0.00007604325,0.00001559107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007449609,0.00004480005,0.0004123549,0.000884536,0.00005723176,0.000230846,0.0002305134,0.1064091,0.01201713,0.5124043,0.04226065,0.3249742],"study_design_scores_gemma":[0.00002753129,0.00009990569,0.0003131719,0.0002679433,0.00003294923,0.0002533393,0.0001217454,0.1650911,0.002568229,0.2197343,0.6114614,0.00002841705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007690925,0.02258442,0.885156,0.004992013,0.001388927,0.0002590487,0.0003511325,0.002047478,0.07552997],"genre_scores_gemma":[0.2284743,0.04439332,0.6568915,0.001095561,0.001127038,0.0007177339,0.001700924,0.0003572107,0.06524242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006041486,"threshold_uncertainty_score":0.0202108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292897139447538,"score_gpt":0.2371815500528729,"score_spread":0.2242525786583976,"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."}}