{"id":"W4398245383","doi":"10.1155/2024/4719669","title":"An IoT‐Based Automatic Vehicle Accident Detection and Visual Situation Reporting System","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accident (philosophy); Computer science; Internet of Things; Computer security; Transport engineering; Real-time computing; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003708035,0.00009214719,0.0001653312,0.0001832821,0.00005642829,0.00002549347,0.00003545242,0.00009319522,0.000003447103],"category_scores_gemma":[0.00001729339,0.00008901172,0.00005222207,0.0001665396,0.00001379614,0.0004431813,4.807516e-7,0.0002166059,0.000001467266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001174128,"about_ca_system_score_gemma":0.00002673373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001852889,"about_ca_topic_score_gemma":0.00002781025,"domain_scores_codex":[0.9988325,0.00001549379,0.0008226229,0.00009546753,0.0001359072,0.00009807418],"domain_scores_gemma":[0.9994869,0.00003518333,0.0003158776,0.0000548984,0.00006223421,0.00004494274],"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":[0.0000309212,0.00001743766,0.001771796,0.0004056283,0.00004627413,0.0001294233,0.000818513,0.4612494,0.2379725,0.0000963485,8.439088e-7,0.2974609],"study_design_scores_gemma":[0.0003018948,0.0001855343,0.2463198,0.0002851353,0.00007972107,0.00006611108,0.0006844292,0.7012909,0.05052716,0.0001248709,0.00002954221,0.0001049199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8110753,0.0003358184,0.187767,0.00002453215,0.0003216375,0.00007422551,8.391192e-7,0.0003924144,0.000008209186],"genre_scores_gemma":[0.9969118,0.00001584372,0.002976265,0.000004642764,0.00006000858,0.000004780164,0.000005184035,0.00002041443,0.000001090365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2973559,"threshold_uncertainty_score":0.3629793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005996978159309222,"score_gpt":0.2527909342433491,"score_spread":0.2467939560840399,"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."}}