{"id":"W4389130416","doi":"10.3390/electronics12234829","title":"Autonomous Wireless Sensor System for Emergency Monitoring Roads with Low Communication Coverage","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federation for the Humanities and Social Sciences","keywords":"Node (physics); Computer network; Wireless sensor network; Radar; Computer science; Real-time computing; Vehicle tracking system; Transmitter; Wireless; Emergency management; Wireless network; Telecommunications; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002399864,0.0002017311,0.0002170448,0.00007273207,0.0001573023,0.00003673145,0.0002512417,0.0001090884,0.000004317373],"category_scores_gemma":[0.000006821117,0.0002105112,0.00006716188,0.0004005758,0.00001080101,0.0001128375,0.00003088084,0.0002802314,0.00005590111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005003971,"about_ca_system_score_gemma":0.00005292261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004713001,"about_ca_topic_score_gemma":0.000045837,"domain_scores_codex":[0.9987072,0.00003420712,0.0002453424,0.0001932337,0.0001656724,0.0006543866],"domain_scores_gemma":[0.9992471,0.00006248706,0.00005219016,0.0005141717,0.00006201158,0.00006205728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001568183,0.000009359811,0.000350978,0.0002263507,0.0001093575,0.000006384124,0.0001562329,0.9885381,0.002822274,0.0004025394,0.001067346,0.006295392],"study_design_scores_gemma":[0.0005071635,0.00009229763,0.0004418485,0.0001262424,0.00004373406,0.00002059597,0.00009179938,0.9724616,0.01240651,0.00005013589,0.01340439,0.0003536441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752819,0.004885443,0.01599301,0.00005434848,0.0005276468,0.0006197114,0.00001242006,0.001999618,0.0006258802],"genre_scores_gemma":[0.9964833,0.002049274,0.0004557628,0.000003019618,0.0002291547,0.0001893761,0.00008822571,0.0001198498,0.0003820372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02120138,"threshold_uncertainty_score":0.8584397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006667910831840609,"score_gpt":0.2140554693977437,"score_spread":0.2073875585659031,"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."}}