{"id":"W4387595427","doi":"10.22214/ijraset.2023.56056","title":"Review on Automated Accident Detection System","year":2023,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"ALARM; Crash; Computer science; Accident (philosophy); Real-time computing; False alarm; Computer security; Transport engineering; Engineering; Artificial intelligence","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":[0.0009470549,0.0009939768,0.0009069057,0.003129071,0.0003697516,0.001362388,0.001839494,0.001100318,0.006273061],"category_scores_gemma":[0.002890142,0.000470609,0.0009535893,0.002663341,0.0002828586,0.001876585,0.0004345193,0.0006029136,0.004873008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005659331,"about_ca_system_score_gemma":0.001237441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003581637,"about_ca_topic_score_gemma":0.001863857,"domain_scores_codex":[0.9991646,0.0001154656,0.0000960547,0.0002634396,0.0003062114,0.00005424473],"domain_scores_gemma":[0.997317,0.0009002066,0.0001434897,0.0001348366,0.001459141,0.00004532616],"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":[0.00008943758,0.00005202524,0.0009759484,0.005980579,0.0001127037,0.00009909784,0.0000390914,0.001119565,0.001442109,0.001660329,0.04341296,0.9450161],"study_design_scores_gemma":[0.00002689711,0.0002944708,0.006108718,0.003695376,0.000550274,0.001734645,0.0001466251,0.009544116,0.006148403,0.002453971,0.9691901,0.000106314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004080381,0.9385912,0.03542126,0.00130084,0.002465159,0.0001379785,0.0008024877,0.0009038129,0.01629687],"genre_scores_gemma":[0.04980497,0.8998182,0.02693347,0.00136092,0.002508455,0.0001702144,0.002942819,0.0001404449,0.01632039],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006273061,"threshold_uncertainty_score":0.02098548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04725529231708227,"score_gpt":0.379968894109751,"score_spread":0.3327136017926687,"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."}}