{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003221776,0.00009042883,0.0001326348,0.002432265,0.0001439788,0.00009124273,0.0005399741,0.0000803497,8.839521e-7],"category_scores_gemma":[0.0002039842,0.00008370667,0.00002172895,0.002002876,0.00008686379,0.00009251325,0.00007628419,0.0004621763,0.0000383851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006026883,"about_ca_system_score_gemma":0.00004894256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002958108,"about_ca_topic_score_gemma":0.000002525561,"domain_scores_codex":[0.9985359,0.000007402573,0.0002546314,0.0001753122,0.0005807897,0.0004459374],"domain_scores_gemma":[0.9994392,0.00009439774,0.00002211144,0.0001186672,0.0002499647,0.00007568025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009522588,0.00004052044,0.0001790148,0.002313639,0.0001112865,0.0002318676,0.0001573222,0.1306615,0.4872911,0.03299656,0.009464178,0.3364577],"study_design_scores_gemma":[0.0005115437,0.00009149669,0.0004059389,0.002413395,0.000002510429,0.0002628331,0.0002151722,0.9504796,0.02052871,0.0005515885,0.02435588,0.0001813805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.910257,0.008558214,0.02307495,0.01370357,0.01843101,0.004786372,0.00003042219,0.0160061,0.00515234],"genre_scores_gemma":[0.9979833,0.001507653,0.0001771488,0.00001748993,0.000124416,0.0001634943,0.000001397332,0.0000167995,0.000008338885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.819818,"threshold_uncertainty_score":0.3413459,"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."}}